Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval
Journal:
arXiv
Published Date:
Mar 24, 2025
Abstract
In this work, we tackle the problem of text-to-video retrieval (T2VR).
Inspired by the success of late interaction techniques in text-document,
text-image, and text-video retrieval, our approach, Video-ColBERT, introduces a
simple and efficient mechanism for fine-grained similarity assessment between
queries and videos. Video-ColBERT is built upon 3 main components: a
fine-grained spatial and temporal token-wise interaction, query and visual
expansions, and a dual sigmoid loss during training. We find that this
interaction and training paradigm leads to strong individual, yet compatible,
representations for encoding video content. These representations lead to
increases in performance on common text-to-video retrieval benchmarks compared
to other bi-encoder methods.
