Improving interpretable embeddings for ad-hoc video search with generative captions and multi-word concept bank
Aligning a user query and video clips in cross-modal latent space and that with semantic concepts are two mainstream approaches for ad-hoc video search (AVS). However, the effectiveness of existing approaches is bottlenecked by the small sizes of available video-text datasets and the low quality of...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/9288 https://ink.library.smu.edu.sg/context/sis_research/article/10288/viewcontent/2404.06173v1.pdf |
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| Institution: | Singapore Management University |
| Language: | English |