Summary of Sync From the Sea: Retrieving Alignable Videos From Large-scale Datasets, by Ishan Rajendrakumar Dave et al.
Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets
by Ishan Rajendrakumar Dave, Fabian Caba Heilbron, Mubarak Shah, Simon Jenni
First submitted to arxiv on: 2 Sep 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, the authors tackle the challenge of temporal video alignment, which involves synchronizing key events in two videos. Existing methods rely on having a suitable video pair for alignment, limiting their applicability. The authors reframe temporal alignment as a search problem and introduce Alignable Video Retrieval (AVR), which can identify well-alignable videos from a large collection of clips and temporally synchronize them with the query video. To achieve this, they propose three key contributions: DRAQ, an alignability indicator; effective frame-level video features; and a novel benchmark and evaluation protocol for AVR using cycle-consistency metrics. The authors demonstrate their approach’s effectiveness on 3 datasets, including large-scale Kinetics700. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making it easier to match up important moments in two different videos. Right now, computers can do this if they have a special pair of videos to work with, but what if you don’t have that? The authors came up with a new way to look for good matches between videos and then synchronize the important parts. They created three tools to help them do this: an indicator that says which videos are most likely to match well, features that help computers understand video frames, and a special set of tests to see how well their method works. They tested it on lots of different videos and showed that it’s pretty good at finding matches. |
Keywords
» Artificial intelligence » Alignment
