Use AI & Daily to generate Automatic Video Highlights
Summary
TLDRJohn from Daily introduces an Automated Video Highlights tool that transforms a one-hour poker game into a TikTok-style summary using AI. The tool combines voice, video, and recording APIs to create contextually relevant, shareable content without manual editing. It uses speech-to-text AI to transcribe audio and game state data to identify key moments, then employs a cloud agent and GPT-4 to summarize the game into a JSON timeline. The VCS stitches the media into a dynamic, shareable video, showcasing the potential of Daily's AI toolkit for developers.
Takeaways
- 🃏 Automated Video Highlights is a new tool designed to create engaging, TikTok-style summaries of long events.
- 👥 The tool was tested during a virtual card game with Daily's engineering team, but not everyone could participate.
- 🎥 It combines voice, video, and recording APIs to produce contextually relevant content without manual editing.
- 💾 Individual video and audio files for each participant are stored in an S3 bucket for later use.
- 🔍 Speech-to-text AI transcribes audio tracks to create a textual record of the game, aiding in identifying key moments.
- 📊 Game state data and player text chats are also captured to provide additional context for the AI workflow.
- 🤖 A cloud-based AI, such as GPT-4, is used to summarize the game by highlighting interesting moments based on the provided data.
- 📝 The AI generates a JSON file outlining a timeline of events to guide the media compositing process.
- 📚 Daily's Video Component System (VCS) automatically stitches together the individual media files according to the timeline.
- 🎨 VCS allows for dynamic rendering and the addition of graphic overlays for visual engagement and branding.
- 🚀 The tool is part of Daily's AI toolkit, and the company is excited to see how developers will integrate it into their apps and products.
- 🔗 Interested parties can learn more by visiting daily.co/AI or contacting Daily directly.
Q & A
What is the purpose of the Automated Video Highlights tooling mentioned in the script?
-The Automated Video Highlights tooling is designed to create short, engaging, TikTok-style summary reels from longer video content, focusing on moments of high stake drama, without requiring manual video editing.
How does the Automated Video Highlights tooling utilize Daily's APIs and AI technology?
-The tooling combines Daily's voice, video, and recording APIs as part of an AI-powered, cloud-based workflow to generate contextually relevant, shareable content.
What is the duration of the poker game that the team played?
-The poker game took around an hour.
Why is it impractical to share the full hour-long recording of the poker game?
-Sharing the full recording is impractical because realistically, no one would sit through a start-to-finish screen recording of an hour-long game.
How does the Automated Video Highlights tooling handle the storage of individual participant data?
-It leverages Daily's raw track recording mode to store individual video and audio files for each participant directly to an S3 bucket.
What role does speech-to-text AI play in the Automated Video Highlights process?
-Speech-to-text AI is used to transcribe audio tracks for all players and the card dealer, providing a fully diarized textual record of what was said throughout the game.
What additional data is used to provide context for identifying key moments of action in the game?
-The game state data and player text chats are used to provide extra context for identifying the key moments of action.
How does the cloud-based AI workflow for producing the final composite timeline work?
-A custom cloud agent uses the S3 bucket's transcripts and timestamp data to converse with an LLM like GPT-4, which summarizes the game by highlighting interesting moments, resulting in a JSON file of events.
What is VCS and how does it contribute to the Automated Video Highlights process?
-VCS, or Video Component System, is Daily's cloud-based compositor that automatically stitches together individual audio and video files into shareable content based on the timeline of events.
How does VCS enhance the final output of the Automated Video Highlights?
-VCS dynamically renders relevant scenes based on the context, and allows for additional graphic overlays for visual engagement and branding.
What are the next steps or resources for developers interested in using Automated Video Highlights in their apps and products?
-Developers can learn more by visiting daily.co/AI or reaching out to Daily for further information.
Outlines
🃏 Automated Poker Night Highlights
John, an engineer at Daily, introduces the Automated Video Highlights tool developed by Daily. The tool was used to condense a one-hour virtual poker game into a short, engaging TikTok-style summary. The process involves combining voice, video, and recording APIs with AI to create contextually relevant, shareable content without manual editing. The workflow includes storing individual video and audio files in an S3 bucket, transcribing audio tracks for all participants, and using game state data and player text chats to identify key moments. A cloud agent converses with an LLM, like GPT-4, to summarize the game, resulting in a JSON timeline of events that guides the media compositing process.
Mindmap
Keywords
💡Automated Video Highlights
💡CloudPokerNight.com
💡Daily
💡AI-powered workflow
💡S3 bucket
💡Speech-to-text AI
💡Game state data
💡LLM (Large Language Model)
💡JSON file
💡Video Component System (VCS)
💡Graphic overlays
Highlights
Introduction of Automated Video Highlights tooling at Daily.
Virtual card game experience shared with the team.
The need for a short, engaging summary reel of the game.
Utilization of Daily's voice, video, and recording APIs.
AI-powered, cloud-based workflow for creating video highlights.
No manual video editing required for contextually relevant content.
Storing individual video and audio files in an S3 bucket.
Transcription of audio tracks using speech-to-text AI.
Inclusion of game state data and player text chats for context.
Custom cloud agent conversing with an LLM like GPT-4.
Summarization of the game by highlighting interesting moments.
Creation of a JSON file for the timeline of events.
Automatic stitching of audio and video files with VCS.
Flexibility in rendering final output with VCS.
Application of graphic overlays for visual engagement.
Excitement for developers to use Automated Video Highlights in apps and products.
Invitation to learn more about Daily's AI toolkit.
Transcripts
Jon Taylor: Hey, my name is John, an engineer here at Daily.
Recently, we got together for a virtual game of cards over at CloudPokerNight.com.
We had a lot of fun, but unfortunately everyone in the team wasn't able to
make it at the time, and we'd really like to share that experience with them.
This is the perfect opportunity to use the new Automated Video Highlights tooling
that we've been working on at Daily.
Let's take a look.
Our game of poker took around an hour.
Realistically, no one is going to sit through a start to
finish screen recording of that.
Automated Video Highlights can be used to create a short, engaging, TikTok-style
summary reel, cutting it down to just the moments of high stake drama.
Automated Video Highlights work by combining Daily's voice, video,
and recording APIs as part of an AI-powered, cloud based workflow.
The result is contextually relevant, shareable content that doesn't require
any manual video editing at all.
Dig a little bit deeper as to how it works.
By leveraging Daily's raw track recording mode, we can store individual
video and audio files for each participant directly to an S3 bucket.
Audio tracks for all players, as well as the card dealer, are also
obtained and transcribed using speech-to-text AI, giving us a fully
diarized, textual record of what was individually said throughout our game.
We're also going to grab the game state data and the player text chats to
help provide that little bit of extra context for when it comes to identifying
the key moments of action later on.
Let's turn our attention to a cloud-based AI workflow for producing
our final composite timeline.
With our S3 bucket full of transcripts and timestamp data, we can use a custom
cloud agent to begin a conversation with an LLM, such as GPT-4 in this case.
With direction provided via a custom prompt and our game data, GPT-4
will attempt to summarize the game.
It cycles through our timeline of events and highlights any
moment that it deems interesting.
At the end of the process, we'll arrive at a single JSON file, our timeline of
events, which will tell us which media tracks to show at a certain point in
time during the compositing process.
All we need to do now is take our individual audio and video files
and stitch them together into that final piece of shareable content.
Now normally this would be a very manual and labor intensive process, but with
Daily's cloud-based compositor, VCS, Video Component System, we can do all of
this automatically in just mere minutes.
VCS steps through each moment in our timeline, obtaining the related
raw video and audio tracks from the S3 bucket and rendering out the
relevant scene dynamically based on the context of what's happening.
It might be that in one scene we show the players placing their bets, and in another
we show a participant winning or losing.
Since we're using VCS, we also have the flexibility for how
we render our final output.
We could apply some additional graphic overlays for that extra bit
of visual engagement and branding.
We're just getting started with the cool things that you can do with
automated video highlights and it's a great use case for Daily's AI toolkit.
We're really excited to see how developers use this as part of their apps and
products and if you'd like to know more, please head on over to daily.co/AI
or reach out to us at any time.
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