PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866910755783180288 |
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| author | Wu, Jiaxin Ngo, Chong-Wah Wei, Xiao-Yong Li, Qing |
| author_facet | Wu, Jiaxin Ngo, Chong-Wah Wei, Xiao-Yong Li, Qing |
| contents | This year, we explore generation-augmented retrieval for the TRECVid AVS task. Specifically, the understanding of textual query is enhanced by three generations, including Text2Text, Text2Image, and Image2Text, to address the out-of-vocabulary problem. Using different combinations of them and the rank list retrieved by the original query, we submitted four automatic runs. For manual runs, we use a large language model (LLM) (i.e., GPT4) to rephrase test queries based on the concept bank of the search engine, and we manually check again to ensure all the concepts used in the rephrased queries are in the bank. The result shows that the fusion of the original and generated queries outperforms the original query on TV24 query sets. The generated queries retrieve different rank lists from the original query. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_15494 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search Wu, Jiaxin Ngo, Chong-Wah Wei, Xiao-Yong Li, Qing Information Retrieval This year, we explore generation-augmented retrieval for the TRECVid AVS task. Specifically, the understanding of textual query is enhanced by three generations, including Text2Text, Text2Image, and Image2Text, to address the out-of-vocabulary problem. Using different combinations of them and the rank list retrieved by the original query, we submitted four automatic runs. For manual runs, we use a large language model (LLM) (i.e., GPT4) to rephrase test queries based on the concept bank of the search engine, and we manually check again to ensure all the concepts used in the rephrased queries are in the bank. The result shows that the fusion of the original and generated queries outperforms the original query on TV24 query sets. The generated queries retrieve different rank lists from the original query. |
| title | PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2412.15494 |