Making Sense of Long Videos
orig. “TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living” · Arkaprava Sinha, Dominick Reilly, Siddharth Krishnan, Hieu Le, Srijan Das
When we watch a long video, like someone doing chores or cooking, it can be hard to find the specific parts that answer our questions, like what time they started cooking or what ingredients they used.
Computers have the same problem, and current solutions either look at the whole video, which takes a lot of computer power, or just look at the parts with captions, which can miss important details.
The new approach, called TimeProVe, tries to solve this by first using a simple method to find the parts of the video that might be relevant, and then using a more powerful vision-language model to verify those parts.
This two-step process helps reduce the amount of computer power needed, making it more efficient
Being able to understand long videos could help in many areas, like healthcare, where it could be used to monitor patients' daily activities, or education, where it could be used to create more interactive and personalized learning experiences.
It could also help make videos more accessible to people with disabilities, by providing a way to quickly summarize the content of a video
Arkaprava Sinha, Dominick Reilly, Siddharth Krishnan, Hieu Le, Srijan Das
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