The killer app of Gemini Pro 1.5 is using video as an input
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Re: The killer app of Gemini Pro 1.5 is using video as an input
#12Note that a video is just a sequence of images: OpenAI has a demo with GPT-4-Vision that sends a list of frames to the model with a similar effect: https://cookbook.openai.com/examples/gpt_with_vision_for_vid... If GPT-4-Vision supported function calling/structured data for guaranteed JSON output, that would be nice though. There's shenanigans you can do with ffmpeg to output every-other-frame to halve the costs too.…
Re: The killer app of Gemini Pro 1.5 is using video as an input
#13hehe, this is great, I was just (2 days ago) playing with a similar problem in a web app form: browsing books in the foreign literature section of a Portuguese bookstore! My (less serious) ultimate goal is a universal sock pairing app: never fold your socks together again, just dump them in the drawer and ask the phone to find a match when you need them! This seems more like a visual segmentation problem though and s…
Re: The killer app of Gemini Pro 1.5 is using video as an input
#14Earlier quoted context omitted.
No it's individual frames https://developers.googleblog.com/2024/02/gemini-15-availabl... "Gemini 1.5 Pro can also reason across up to 1 hour of video. When you attach a video, Google AI Studio breaks it down into thousands of frames (without audio),..." But it's very likely individual frames at 1 frame/s https://storage.googleapis.com/deepmind-media/gemini/gemini_... "Figure 5 | When prompted with a 45 minute Buster…
Despite that being in their blog post, I'm skeptical. I tried uploading a single frame of the video as an image and it consumed 258 tokens. The 7s video was 1,841 tokens. I think it's more complicated than just "split the video into frames and process those" - otherwise I would expect the token count for the video to be much higher than that. UPDATE ... posted that before you edited your post to link to the Gemini 1.…
Re: The killer app of Gemini Pro 1.5 is using video as an input
#15A little error in the page: GPT-4V stands for vision, not video.
Re: The killer app of Gemini Pro 1.5 is using video as an input
#16How does this particular use case stack up against OCR?
Not to mention the partially obscured titles that Gemini guessed well, which would be impossible for an OCR.
Re: The killer app of Gemini Pro 1.5 is using video as an input
#17Earlier quoted context omitted.
No it's individual frames https://developers.googleblog.com/2024/02/gemini-15-availabl... "Gemini 1.5 Pro can also reason across up to 1 hour of video. When you attach a video, Google AI Studio breaks it down into thousands of frames (without audio),..." But it's very likely individual frames at 1 frame/s https://storage.googleapis.com/deepmind-media/gemini/gemini_... "Figure 5 | When prompted with a 45 minute Buster…
Despite that being in their blog post, I'm skeptical. I tried uploading a single frame of the video as an image and it consumed 258 tokens. The 7s video was 1,841 tokens. I think it's more complicated than just "split the video into frames and process those" - otherwise I would expect the token count for the video to be much higher than that. UPDATE ... posted that before you edited your post to link to the Gemini 1.…
Re: The killer app of Gemini Pro 1.5 is using video as an input
#18>GPT-4 Video and LLaVA expanded that to images. A little error in the page: GPT-4V stands for vision, not video.
Re: The killer app of Gemini Pro 1.5 is using video as an input
#19Re: The killer app of Gemini Pro 1.5 is using video as an input
#20Note that a video is just a sequence of images: OpenAI has a demo with GPT-4-Vision that sends a list of frames to the model with a similar effect: https://cookbook.openai.com/examples/gpt_with_vision_for_vid... If GPT-4-Vision supported function calling/structured data for guaranteed JSON output, that would be nice though. There's shenanigans you can do with ffmpeg to output every-other-frame to halve the costs too.…
Most notably, at 1FPS the GPT-4V API errors out around 3-4 mins, while 1.5 Pro supports upto an hour of video inputs.