Tag: #technicalwriting

AI, Cameras, Cisco, events, Learning, Life Choices, Moving Forward, Streaming, Technology

Cisco 4D Replay & Top Tracer Technology in Sports – A 360 View

The Cisco 4D Replay technology premiered at the 2015 NBA All-Star Weekend, which was held in New York City. It was used to capture and provide 360-degree replays of the All-Star Game, allowing viewers to experience the game from a new and immersive perspective. The technology was developed in collaboration with Replay Technologies, which was later acquired by Intel. Since its debut, the Cisco 4D Replay technology has been used in a variety of sporting events, including the US Open Golf Tournament, NFL games, and the NBA Finals.

At the 2019 US Open Golf Tournament, Cisco 4D Replay was introduced to capture and provide 360-degree replays of live events. The technology utilized 80 cameras that were placed around the course, including on towers and cranes, to capture multiple angles of each shot. The footage was then processed through a system that created a 360-degree view of the shot, which could be viewed from any angle.

Cisco and the USGA went deeper, and brought 4DReplay to the tee box of golf courses, which allows golfers and fans to view a player’s swing at 360 degrees. With 88 cameras set up in a ring around the tee box, the video captures enough footage that it can be paused at 34 different points in the motion. Not only could broadcasts show the technology they added to their analysis of players’ swings, and fans could watch the clips on demand through the USGA app.

The process of creating a 360-degree view from multiple camera angles involves stitching together the footage from each camera into a single panoramic view. There are various types of software that can be used to accomplish this, including specialized 360-degree video editing software such as Kolor Autopano Video or VideoStitch Studio, and even mainstream video editing software such as Adobe Premiere Pro or Final Cut Pro can be used to achieve this effect. Additionally, there are companies that offer specialized services for creating panoramic views from multiple camera angles, such as Pixvana SPIN Studio and Mistika VR. However, it’s worth noting that without more specific information about the technology used in the Cisco 4D Replay system, it’s difficult to say which specific software or systems were used to process the footage.

This innovative technology allows viewers to experience the tournaments in a unique way, providing a level of detail and perspective that was not previously possible. The 4D replays are shown on television broadcasts and are also available for viewers to watch online.

The use of Cisco 4D Replay at the US Open Golf Tournament provides an exciting way for viewers to engage with the event and gain a deeper understanding of the game. The technology allows for a more immersive viewing experience that brings the action closer to fans and provides a level of detail and perspective that was not previously possible.

Overall, the use of Cisco 4D Replay at the US Open Golf Tournament has demonstrated the potential of innovative technologies to enhance the viewing experience for fans and provide new opportunities for engagement with live events. As technology continues to evolve, it is likely that we will see even more exciting and innovative ways to experience live events in the future.

Toptracer is a technology used in golf broadcasting to track the flight of the ball in real-time. It works by using CMOS (Complementary Metal-Oxide-Semiconductor) image sensors to capture images of the golf ball in flight from multiple camera angles. These images are then fed into a computer system that analyzes them to calculate the ball’s trajectory and projected landing point.

Unlike traditional cameras, which use light to capture images on a negative film, CMOS image sensors convert light into electrical signals that can be processed by a computer. This allows Toptracer to capture and analyze multiple angles of the ball’s flight path, providing accurate data on its speed, spin, and trajectory.

Overall, Toptracer technology provides a more engaging viewing experience for golf fans by allowing them to see the flight of the ball in real-time and providing detailed data on each shot. It also provides valuable information for golfers and coaches to analyze their performance and make improvements to their game.

#cloud, Bandwidth, Collaboration, Content Delivery Networks, Digital Platforms, Golf, Learning, Mentoring, Project & Production Management, publishing, Sports, Streaming, Teamwork, Technology

Golf Broadcasting & Streaming: Cloud Link, Shot link, Trackman, AI

The world of professional golf broadcasting has been transformed by cloud linking technology in recent years. This technology allows broadcasters to manage and distribute content over the internet, leveraging the scalability and flexibility of cloud computing to reach a global audience.

One of the most significant benefits of cloud linking in golf broadcasting is the ability to live stream tournaments to a global audience. Rather than relying on traditional broadcasting methods that require expensive equipment and infrastructure, cloud linking allows broadcasters to distribute their content over the internet using cloud-based platforms. This allows fans who are unable to attend the event in person to watch the action live from anywhere in the world.

In addition to live streaming, cloud linking provides broadcasters with the ability to offer on-demand video content, including highlights, replays, and analysis. This content can be made available via a variety of platforms, including websites, mobile apps, and social media. This allows fans to engage with the content on their own terms, whether they are watching on a desktop computer or on their mobile device.

Cloud linking can also help streamline the broadcasting workflow by automating tasks such as video transcoding, content management, and distribution. This can save time and improve the efficiency of operations. Rather than spending time on manual tasks, broadcasters can focus on creating high-quality content that engages their audience.

One of the key advantages of cloud linking is the ability to access real-time analytics that provide insights into how content is being consumed. This can help broadcasters make informed decisions about how to optimize their broadcasting strategy. For example, if analytics show that a particular type of content is resonating with viewers, broadcasters can focus on creating more of that type of content.

Finally, cloud linking can help broadcasters integrate their content with a content delivery network (CDN), which can improve the speed and reliability of content delivery. This is particularly important for live streaming, where delays or buffering can significantly impact the viewer experience. By leveraging a CDN, broadcasters can ensure that their content is delivered quickly and reliably to viewers around the world.

Cloud linking technology has revolutionized the world of professional golf broadcasting. By leveraging the scalability and flexibility of cloud computing, broadcasters can reach a global audience with high-quality content that engages fans and provides valuable insights into how that content is being consumed. As the technology continues to evolve, we can expect to see even more innovative uses of cloud linking in the world of golf broadcasting in the years to come.

Ok….how does Cloudlink Integrate with ShotLink & Trackman?

CloudLink is a cloud-based platform that integrates with ShotLink and TrackMan, two popular sports data tracking systems used in golf. Here’s how CloudLink works with these systems:

1. ShotLink is a data tracking system used in professional golf tournaments. It uses a network of sensors and cameras to track the location and movement of golf balls, as well as the position of players on the course. This data is then used to provide real-time scoring updates and other statistics to viewers.

CloudLink can integrate with ShotLink by accessing the data collected by the system and providing additional analysis and visualization tools. For example, CloudLink can use AI-powered algorithms to analyze the data and generate insights into player performance, such as driving accuracy or putting success rates. These insights can then be shared with viewers during live broadcasts or through online platforms.

2. TrackMan is a sports data tracking system that uses radar technology to track the flight of golf balls, as well as other sports equipment such as baseballs and tennis balls. It is used by golf coaches and players to analyze swings and improve performance.

CloudLink can integrate with TrackMan by accessing the data collected by the system and providing additional analysis and visualization tools. For example, CloudLink can use AI-powered algorithms to analyze swing data and identify areas where a player can improve their technique. These insights can then be shared with coaches and athletes through online platforms, allowing them to make data-driven decisions and improve their performance.

CloudLink can enhance the capabilities of ShotLink and TrackMan by providing additional analysis and visualization tools. By integrating with these systems, CloudLink can provide more comprehensive insights into player performance and create a more engaging and informative viewing experience for golf fans.

Soooo, AI integrates with Cloudlink, but how does that work with sports content (golf focused for the purpose of this example)?

AI (Artificial Intelligence) is being utilized in sports broadcasts for both live and pre-recorded events in various ways, some of which are:

1. Automated camera systems: AI-powered cameras are being used to capture live sports events without human intervention. These cameras can follow the action and track the movement of players in real-time, resulting in a more dynamic and immersive viewing experience.

2. Real-time data analysis: AI is being used to analyze real-time data from sensors placed on players, the ball, and the field. This data can be used to provide insights into player performance, such as speed, distance covered, and heart rate, which can be displayed on-screen during live broadcasts.

3. Automated highlights generation: AI is being used to automatically generate highlights of key moments during a game or event. The AI algorithm can identify moments based on factors such as crowd noise, player movements, and score changes and create short video clips of those moments, which can be shared on social media or broadcast during live events.

4. Personalized content recommendations: AI is being used to provide personalized content recommendations to viewers based on their viewing history. This technology can identify the sports and teams that a viewer is interested in and recommend relevant content, such as pre-recorded matches or highlights.

5. Virtual and augmented reality: AI is being used to create virtual and augmented reality experiences for sports viewers. This technology can create immersive experiences, such as 360-degree views of the stadium or interactive replays that allow viewers to explore a play from different angles.

Overall, AI is being used to enhance the viewing experience for sports fans by providing more immersive, personalized, and interactive content.

101, Coding, Collaboration, Content Delivery Networks, Digital Platforms, Learning, Mentoring, Streaming, Technology

101: How to Create SCTE 35 & 224 Markers for HLS, JSON, XML, Python, JavaScript, & Ruby

To create SCTE markers for DAI (Dynamic Ad Insertion) for live streaming, you can use a variety of scripting languages and tools. Here are a few examples:

SCTE-35 is a standard for signaling ad insertion opportunities in live streams. It uses MPEG-2 Transport Stream packets to insert “cue” messages that indicate the start and end of ad breaks. To create SCTE-35 markers, you can use tools like SCTE-35 Commander or SCTE-35 Injector. These tools allow you to create SCTE-35 messages and insert them into your live stream.

1. HLS: HLS (HTTP Live Streaming) is a streaming protocol that allows for dynamic ad insertion in live streams. To create SCTE markers for HLS, you can use the EXT-X-CUE-OUT and EXT-X-CUE-IN tags. These tags indicate the start and end of an ad break and can be used to trigger the insertion of ad content. Here is an example of an HLS manifest with SCTE markers:

“`m3u8
#EXTM3U
#EXT-X-VERSION:3
#EXT-X-TARGETDURATION:10
#EXT-X-MEDIA-SEQUENCE:0
#EXT-X-CUE-OUT:DURATION=30
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00001.ts
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00002.ts
#EXT-X-CUE-IN
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00001.ts
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00002.ts
#EXT-X-CUE-OUT:DURATION=30
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00003.ts
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00004.ts
#EXT-X-CUE-IN
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00003.ts
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00004.ts
#EXT-X-ENDLIST
“`

In this example, the SCTE markers are represented by the EXT-X-CUE-OUT and EXT-X-CUE-IN tags. These tags indicate the start and end of an ad break, and the ad content is inserted between them.

2. JSON: SCTE-224 is a standard for signaling ad breaks in live streams using JSON metadata. To create SCTE markers using SCTE-224, you can use tools like the SCTE-224 Event Scheduler or the SCTE-224 Event Injector. These tools allow you to create JSON metadata that signals the start and end of ad breaks in your live stream.

3. XML: Like JSON, SCTE-224 also supports XML metadata for signaling ad breaks in live streams. You can use XML tags to specify the start and end of ad breaks and other metadata. For example:

“`xml
<ADI>
<Asset>
<Metadata>
<SCTE35>
<SpliceInfoSection>
<SpliceInsert>
<SpliceEvent>
<SpliceEventId>12345</SpliceEventId>
<SpliceOutOfNetworkIndicator>false</SpliceOutOfNetworkIndicator>
<SpliceImmediateFlag>true</SpliceImmediateFlag>
<BreakDuration>30000</BreakDuration>
</SpliceEvent>
</SpliceInsert>
</SpliceInfoSection>
</SCTE35>
</Metadata>
</Asset>
</ADI>
“`

In this example, an SCTE-35 splice event is specified using XML tags within an Asset Description and Metadata Interface (ADI) file.

4. Python: You can also use Python scripts to generate SCTE-35 messages for DAI. For example, the SCTE-35 Python library allows you to create SCTE-35 messages using Python code. Here’s an example Python script that creates an SCTE-35 message:

“`python
from scte35 import SpliceInfoSection, SpliceInsert

splice_event = SpliceInsert(
splice_event_id=12345,
out_of_network=False,
immediate=True,
break_duration=30
)

splice_info_section = SpliceInfoSection(
splice_insert=splice_event
)

scte35_message = splice_info_section.to_bytes()
“`

This script creates a splice event with ID 12345, a break duration of 30 seconds, and other parameters, and then generates an SCTE-35 message using the scte35 library.

5. JavaScript: If you’re working with web-based live streaming technologies like HLS or DASH, you can use JavaScript to manipulate the manifest files and insert SCTE markers. For example, you could use JavaScript to modify the EXT-X-CUE-OUT and EXT-X-CUE-IN tags in an HLS manifest file to indicate ad breaks.

6. Ruby: Ruby is another scripting language that can be used to generate SCTE-35 messages for DAI. The SCTE35 gem is a Ruby library that allows you to create and parse SCTE-35 messages. Here’s an example Ruby script that creates an SCTE-35 message:

“`ruby
require ‘scte35’

splice_event = SCTE35::SpliceInsert.new(
splice_event_id: 12345,
out_of_network: false,
immediate: true,
break_duration: 30
)

splice_info_section = SCTE35::SpliceInfoSection.new(
splice_insert: splice_event
)

scte35_message = splice_info_section.to_binary_s
“`

This script creates a splice event using the SCTE35 gem, sets its parameters, and generates an SCTE-35 binary message.

Overall, the choice of scripting language and tool depends on the specific requirements of your live streaming setup. These examples show some common options for creating SCTE markers for DAI in live streaming.

101, Best Practices, Coding, Content Delivery Networks, Digital Platforms, HLS Streaming, Project & Production Management, Streaming, Technology

101: What is ESAM Scripting for YouTube & SCTE DAI?

First, what is SCTE? (pronounced scut-e). The Society of Cable Telecommunications Engineers (SCTE) is a professional association that offers education, certification, and standards for the telecommunications industry. SCTE serves as a technical and applied science leader, providing training and certification programs in broadband, cable networks, and digital video. It has a diverse membership of professionals, including engineers and technicians, who work in the cable and telecommunications industries.

Next, what is ESAM? ESAM stands for Event Signaling and Management. It is a protocol used in cable networks to provide advanced notification and management of network events. ESAM allows for the delivery of messages that can be used to signal events such as program start and end times, emergency alerts, and other network events. It is an important component of the CableLabs Enhanced Content Specification, which is a set of technical specifications used in digital TV networks. ESAM is designed to enhance the functionality and interoperability of networks, improving the viewing experience for subscribers.

ESAM scripting for SCTE:

1. Identify the video content that needs to be marked up with SCTE markers. These could be ad breaks, chapter markers, or other significant events in the video.

2. Use an ESAM editor tool to create the ESAM script. There are several tools available, such as ESAM Creator and ESAM Builder. These tools allow you to create, edit, and validate the ESAM script.

3. Define the SCTE markers in the ESAM script. Each marker should include the timecode, duration, and type of event. For example, an ad break marker could be defined as a “cue-in” event with a duration of 30 seconds.

4. Validate the ESAM script to ensure that it is compliant with the SCTE specification. Use the ESAM editor tool to run the validation process and check for any errors or warnings.

5. Save the ESAM script and upload it to your YouTube account. You can do this by selecting the video content in your YouTube Studio dashboard, navigating to the “Advanced” tab, and uploading the ESAM script in the “Content ID” section.

6. Review the video content to ensure that the SCTE markers are working correctly. You can use the YouTube player to test the markers and make any necessary adjustments to the ESAM script.

By following these steps, you can create an ESAM script for YouTube SCTE that will help you manage and monetize your video content more effectively.

An ESAM script is an XML-based file that contains information about events or markers that occur in video content. These markers can be used for a variety of purposes, such as indicating ad breaks, chapter markers, or other significant events in the video.

Here is an example of an ESAM script for a dynamic commercial SCTE marker in XML format:

“`xml
<?xml version=”1.0″ encoding=”UTF-8″?>
<ESAM xmlns=”urn:ietf:params:xml:ns:esam:1.0″>
<EventSignal Time=”00:05:00.000″ Duration=”00:00:30.000″ Type=”Commercial”>
<Metadata>
<MetadataItem Name=”AdType”>Dynamic</MetadataItem>
<MetadataItem Name=”AdID”>1234</MetadataItem>
<MetadataItem Name=”AdTitle”>Example Ad</MetadataItem>
<MetadataItem Name=”Advertiser”>Acme Corp</MetadataItem>
</Metadata>
</EventSignal>
</ESAM>
“`

In this example, the ESAM script includes a “Commercial” event signal that occurs at the 5-minute mark of the video and lasts for 30 seconds. The metadata associated with the event signal includes information about the ad type, ID, title, and advertiser.

By using ESAM scripts like this one, video content creators and distributors can manage and monetize their content more effectively, while providing a better experience for viewers.

More scripting tomorrow…. stay tuned!

101, Best Practices, Digital Platforms, gaming, Learning, Mentoring, Streaming

Broadcasting: Mux or Demux? What The Heck Is That About?

In broadcasting, muxing and demuxing are essential processes that allow for the transmission and distribution of audio and video streams.

Muxing, or multiplexing, is the process of combining multiple audio and video streams into a single stream. This combined stream can be transmitted over a network or broadcast through traditional media channels like television or radio. Muxing is commonly used in live streaming, video editing, video conferencing, and IPTV.

A mux works by taking multiple input streams and interleaving them into a single output stream, which can be encoded and transmitted over a network using a specific protocol. The output stream is typically optimized for transmission efficiency, so that it can be transmitted with minimal delay and bandwidth requirements.

10 use cases for a mux:

1. Live streaming: A mux can be used to combine multiple live audio and video feeds into a single stream for real-time broadcast.

2. Video editing: A mux can be used to combine multiple video tracks into a single output file for editing or post-production.

3. Video surveillance: A mux can combine multiple video feeds from surveillance cameras into a single stream for monitoring and recording.

4. IPTV: A mux can be used by IPTV providers to combine multiple TV channels into a single stream for distribution over the internet.

5. VoIP: A mux can be used to combine multiple voice streams into a single output stream for voice over IP (VoIP) applications.

6. Music production: A mux can be used to combine multiple audio tracks into a single output file for music production or mixing.

7. Video conferencing: A mux can be used to combine multiple audio and video feeds from participants in a video conference into a single output stream.

8. Digital signage: A mux can be used to combine multiple video feeds for display on digital signage screens.

9. Sports broadcasting: A mux can be used to combine multiple audio and video feeds from different cameras and microphones at a sports event into a single broadcast stream.

10. Online gaming: A mux can be used to combine multiple audio and video streams from players in an online multiplayer game into a single stream for spectators to watch.

Conversely….

Demuxing, or demultiplexing, is the opposite process of separating the combined stream back into its individual audio and video streams. This allows for the decoding and processing of the individual streams separately. Demuxing is commonly used in media playback, video editing, audio processing, and network monitoring.

A demux works by analyzing the input stream and separating it into its constituent parts based on the underlying format and structure of the stream. The output streams can then be decoded or processed separately using appropriate software or hardware.

10 use cases for demuxing:

1. Media playback: A media player uses a demux to separate the audio and video tracks of a media file, so that they can be decoded and played back separately.

2. Video editing: A demux can be used to separate multiple video tracks from a single media file for editing or post-production.

3. Audio processing: A demux can be used to separate multiple audio tracks from a media file for processing or analysis.

4. Closed captioning: A demux can be used to separate the closed captioning data from a video file, so that it can be displayed separately.

5. Subtitles: A demux can be used to separate the subtitle data from a video file, so that it can be displayed separately.

6. Video transcoding: A demux can be used to separate the audio and video tracks of a media file for transcoding into a different format or resolution.

7. Network monitoring: A demux can be used to analyze network traffic and separate different types of data packets for monitoring or analysis.

8. Digital forensics: A demux can be used to extract individual files or data streams from a larger disk image or data file for forensic analysis.

9. Compression: A demux can be used to separate different data streams for compression or archiving purposes.

10. Streaming: A demux can be used to separate audio and video streams from a network broadcast for playback on different devices, or for further processing and analysis.

Both muxing and demuxing are critical processes in broadcasting that allow for efficient transmission and distribution of audio and video streams. These processes are used in a wide range of applications, from live sports broadcasting to online gaming, and are essential for ensuring high-quality audio and video transmission.

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#cloud, 101, AWS, Digital Platforms, Learning, Mentoring, Streaming, Success, Technology, Training

What is S3? Buckets? SDKs? A Quick Overview

Amazon S3, or Simple Storage Service, is a cloud-based storage service provided by Amazon Web Services (AWS). It allows users to store and retrieve any amount of data from anywhere on the web, making it a popular choice for individuals and businesses alike.

At its core, Amazon S3 is an object storage system. This means that data is stored as objects, rather than in a traditional file hierarchy. Objects can be of any size, from a few bytes to terabytes, and are stored in containers called buckets. Users can create, manage, and delete buckets through the AWS Management Console or with the AWS SDKs.

Oh riiiiight …What are SDKs? 😊

SDK stands for Software Development Kit. It is a collection of software development tools that allow developers to create applications for a specific software package, hardware platform, operating system, or programming language. SDKs usually include libraries, APIs, documentation, and other utilities that help developers to build software applications that integrate with existing systems or platforms.

Now Back to S3…..

One of the key benefits of S3 is its scalability. It can handle an infinite amount of data and can be accessed from anywhere in the world. This is achieved through a distributed architecture, where data is stored across multiple servers and locations. This also means that data is highly available and durable, with multiple levels of redundancy and built-in error correction.

Amazon S3 also offers a range of features for managing data. Users can set up access controls, encryption, and versioning to ensure that their data is secure and accessible only to authorized users. They can also use lifecycle policies to automatically move data to lower-cost storage tiers or delete it after a certain period of time.

Under the hood, S3 uses a combination of technologies to provide its high performance and scalability. It uses a distributed system architecture, with data stored across multiple servers and locations. It also uses a highly optimized network stack, with low-latency connections to AWS services and the internet.

In addition, S3 uses advanced algorithms and caching techniques to optimize data retrieval. For example, it uses parallel processing to retrieve multiple objects at once, and it caches frequently accessed data for faster retrieval times.

Overall, Amazon S3 is a powerful and flexible storage solution that offers a range of features for managing and securing data. It is a popular choice for businesses of all sizes, from startups to large enterprises, and is used for a wide range of applications, from backup and archiving to content delivery and data analytics.

Do you use S3? Comment & Let me know how – it’s free!

101, AI, Bandwidth, Best Practices, Cameras, Mentoring, Project & Production Management, Streaming, Technology

USFL uses HRP Cameras, Drones, & Helmet Cams

The USFL (United States Football League) was a professional American football league that operated from 1983 to 1987. It was created to compete with the National Football League (NFL) during the spring and summer months.

The HRP (High-Resolution Panoramic) model is a type of camera that captures high-resolution panoramic images. It uses multiple cameras to capture a wide-angle view of a scene and then stitches the images together to create a seamless panoramic image.

Drones are unmanned aerial vehicles that can be used for a variety of purposes, including aerial photography and videography. They are equipped with cameras that can capture high-quality images and video footage from unique perspectives.

HelmetCams, also known as action cameras, are small cameras that can be attached to a helmet or other equipment to capture first-person point-of-view footage. They are often used in action sports such as snowboarding, skateboarding, and mountain biking.

Overall, these technologies have been used to enhance the viewing experience of sports broadcasts by providing unique and immersive perspectives on the action.

HRP (High-Resolution Panoramic) cameras are a type of camera that captures images with a wide field of view. They use multiple cameras to capture a scene from different angles and then stitch the images together to create a seamless panoramic image.

There are several manufacturers of HRP cameras, including Panoscan, Seitz, and Roundshot. Each manufacturer offers a variety of models with different resolutions and features. For example, the Seitz Roundshot D3 camera has a resolution of up to 80 megapixels and can capture full 360-degree panoramas in just a few seconds.

The process of stitching the images together is typically done using specialized software, such as PTGui or Autopano. These software programs use algorithms to analyze the images and find common features that can be used to align and blend the images together. The software can also correct for any distortion or perspective issues that may occur due to the different angles of the cameras.

Once the images are stitched together, they can be exported as a single panoramic image or as a virtual tour, which allows viewers to navigate through the scene using interactive controls. HRP cameras are often used in applications such as real estate photography, tourism, and virtual reality experiences, television broadcasts.

How is all of this technology used specifically in sports production broadcasts?

HRP cameras, drones, HelmetCams, and other similar technologies are used in sports production broadcasts to provide viewers with immersive and unique perspectives of the action.

HRP cameras are used to capture high-resolution panoramic images of stadiums and arenas, providing viewers with a 360-degree view of the venue. These images can be used for pre-game introductions, establishing shots, and post-game analysis. They can also be used to create virtual tours of the venue, allowing viewers to explore the stadium or arena in detail.

Drones are used to capture aerial footage of the action, providing viewers with a bird’s-eye view of the game. This footage can be used for replays, establishing shots, and highlights. Drones can also be used to capture footage of the surrounding area, giving viewers a sense of the location and atmosphere of the event.

HelmetCams are used to capture first-person point-of-view footage of athletes, providing viewers with a unique perspective of the action. This footage can be used for replays, highlights, and analysis. HelmetCams are often used in extreme sports such as snowboarding, skiing, and motocross.

Overall, these technologies are used to enhance the viewing experience of sports broadcasts, providing viewers with new and exciting perspectives of the action. The use of these technologies has become increasingly common in recent years, as broadcasters look for new ways to engage viewers and provide a more immersive viewing experience.

#cloud, 101, AI, Bandwidth, Best Practices, Cloud Editing, Cloud Providers, Collaboration, Content Delivery Networks, Digital Platforms, Mentoring, Project & Production Management, publishing, Streaming, Technology, Training

Overview: 30 Cloud Security Companies

Cloud security is a hot topic as streaming, processing, editing in the cloud is growing at a brakefast speed, not to leave out AI learning for meta data, closed captioning, transcribing, and DAI (Dynamic Ad Insertion). Keeping information secure is essential.

Below are 30 cloud security companies and the specific services they provide:

1. Microsoft Azure: Provides cloud security services such as identity and access management, threat protection, and security management.

2. Amazon Web Services (AWS): Offers security services such as identity and access management, data protection, network security, and compliance.

3. Google Cloud Platform (GCP): Provides security services such as identity and access management, data encryption, and threat detection.

4. Palo Alto Networks: Offers cloud security services such as firewalls, intrusion detection and prevention, and threat intelligence.

5. Symantec: Provides cloud security services such as data protection, threat detection, and compliance.

6. IBM Cloud: Offers security services such as access management, data protection, and threat intelligence.

7. Cisco Cloud Security: Provides cloud security services such as firewalls, intrusion detection and prevention, and threat intelligence.

8. McAfee: Offers cloud security services such as data protection, threat detection, and compliance.

9. CrowdStrike: Provides cloud security services such as endpoint protection, threat detection, and incident response.

10. Akamai Technologies: Offers cloud security services such as web application firewall, bot management, and DDoS protection.

11. Fortinet: Provides cloud security services such as firewalls, intrusion detection and prevention, and threat intelligence.

12. Check Point Software: Offers cloud security services such as firewalls, intrusion detection and prevention, and threat intelligence.

13. Trend Micro: Provides cloud security services such as data protection, threat detection, and compliance.

14. F5 Networks: Offers cloud security services such as web application firewall, bot management, and DDoS protection.

15. Zscaler: Provides cloud security services such as web security, DNS security, and cloud firewall.

16. Cloudflare: Offers cloud security services such as DDoS protection, web application firewall, and bot management.

17. Sophos: Provides cloud security services such as endpoint protection, email security, and web security.

18. Rapid7: Offers cloud security services such as vulnerability management, threat detection, and incident response.

19. Tenable: Provides cloud security services such as vulnerability management, threat detection, and compliance.

20. Alert Logic: Offers cloud security services such as intrusion detection and prevention, log management, and compliance.

21. Qualys: Provides cloud security services such as vulnerability management, threat detection, and compliance.

22. Carbon Black: Offers cloud security services such as endpoint protection, threat detection, and incident response.

23. Netskope: Provides cloud security services such as data loss prevention, web security, and cloud access security broker.

24. Bitdefender: Offers cloud security services such as endpoint protection, email security, and cloud security.

25. Barracuda Networks: Provides cloud security services such as email security, web security, and cloud security.

26. CipherCloud: Offers cloud security services such as data protection, threat detection, and compliance.

27. FireEye: Provides cloud security services such as threat intelligence, incident response, and forensics.

28. Imperva: Offers cloud security services such as web application firewall, bot management, and DDoS protection.

29. Qualys: Provides cloud security services such as vulnerability management, threat detection, and compliance.

30. Skyhigh Networks: Offers cloud security services such as cloud access security broker, data protection, and threat detection.

Overall, these cloud security companies provide a range of cloud security services, including identity and access management, data protection, threat detection, and compliance.

101, AI, Best Practices, Cloud Editing, Collaboration, Digital Platforms, Mentoring, Moving Forward, Project & Production Management, Technology, Training

Wiki Collab

Wiki collaboration refers to a collaborative process of creating and editing content on a wiki platform. A wiki is a website or online platform that allows users to create and edit content collaboratively. Wiki collaboration can be used in a variety of contexts, including education, research, business, and community building.

Some of the benefits of wiki collaboration include:

1. Collaboration – Wikis promote collaboration among users by allowing them to work together to create and edit content.

2. Easy accessibility – Wikis can be accessed from anywhere with an internet connection, making it easy for users to contribute and access content.

3. Version control – Wikis typically offer version control, which allows users to track changes and revisions to the content.

4. Transparency – Wikis are transparent, meaning that all changes made to the content are visible to all users. This promotes accountability and encourages users to contribute responsibly.

5. Knowledge sharing – Wikis can be used to share knowledge and information with a community of users, which can be beneficial for education, research, and business purposes.

To collaborate on a wiki platform, users typically create an account and log in to access the content. They can then create and edit pages, add images and videos, and collaborate with other users. Some wiki platforms offer features such as discussion forums, chat rooms, and task management tools to help users collaborate more effectively.

There are various wiki platforms available, including:

1. Wikipedia – The world’s largest and most popular wiki platform, Wikipedia is a free encyclopedia that anyone can edit.

2. MediaWiki – An open-source wiki platform that powers Wikipedia and many other wikis.

3. Confluence – A wiki platform designed for business and team collaboration, Confluence offers features such as task management, calendars, and chat rooms.

4. Fandom – A wiki platform for fan communities, Fandom allows users to create and edit pages related to their favorite TV shows, movies, and other interests.

5. DokuWiki – An open-source wiki platform that is easy to use and highly customizable.

Overall, wiki collaboration can be a powerful tool for promoting collaboration, knowledge sharing, and community building. By allowing users to work together to create and edit content, wikis can facilitate the sharing of information and ideas across a wide range of contexts.

101, AI, Bandwidth, Best Practices, Collaboration, Digital Platforms, Life Choices, Streaming

Quick Comparison of Broadcast Cellular Aggregators

Bonded cellular aggregators are devices that combine multiple cellular connections from different carriers into a single, more reliable and faster connection. This technology is commonly used in live video streaming, where a reliable and fast internet connection is crucial. Bonded cellular aggregators can also be used to improve internet connectivity in remote areas where traditional broadband connections are not available. The technology works by splitting the data stream into smaller packets and then sending those packets simultaneously over multiple cellular networks. The receiving device then combines the packets and reassembles them into a single data stream. This process helps to reduce latency and improve overall connection quality.

There are several companies that provide bonded cellular aggregators, including LiveU, TVU Networks, Mushroom Networks, Teradek, and Peplink. These companies offer a range of devices and solutions for different types of applications, from small portable units for on-the-go streaming to rack-mounted systems for studio production. Each company has its own unique features and capabilities, so it’s important to evaluate them based on your specific needs and requirements.

– LiveU is a leading provider of bonded cellular solutions for live video streaming/ broadcasting. Their products range from small backpack-sized units to larger rack-mounted systems. LiveU’s solutions are known for their reliability and high-quality video transmission. LiveU products are popular among broadcasters for their high reliability and ability to transmit high-quality live video from remote locations.

– TVU Networks is another popular provider of bonded cellular solutions for live video streaming. Their products include both portable and rack-mounted units, and they offer unique features like remote control and automation. TVU products are used by broadcasters to transmit live video from the field, and they offer features like remote control and automation to simplify the broadcasting workflow.

– Mushroom Networks provides a range of WAN aggregation solutions, including bonded cellular devices. Their products are designed to improve internet connectivity in remote areas and areas with poor infrastructure. Mushroom Networks provides bonded cellular solutions for broadcasting, with a focus on improving internet connectivity in remote areas. Their products are designed to help broadcasters transmit live video from areas with poor infrastructure or limited connectivity.

– Teradek is a provider of video encoding and transmission solutions, including bonded cellular devices. Teradek products range from small portable units to larger rack-mounted systems, and they offer features like wireless camera control and remote configuration. Teradek products are used by broadcasters to transmit high-quality live video from remote locations, and they offer features like wireless camera control and remote configuration.

– Peplink is a provider of SD-WAN and WAN aggregation solutions, including bonded cellular devices. Peplink products are designed for both business (broadcasting included)and consumer use and offer features like cloud-basedLO management and failover protection. Peplink provides bonded cellular solutions for broadcasting, with a focus on SD-WAN and WAN aggregation. Peplink products are designed to improve internet connectivity and network reliability for broadcasters, ensuring that live video broadcasts are transmitted smoothly and without interruption.

Each company has its strengths and weaknesses, and the best choice depends on the specific needs and requirements of the user.