VCR: Video representation for Contextual Retrieval
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866913231437561856 |
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| author | Nir, Oron Vidra, Idan Neeman, Avi Kinarti, Barak Shamir, Ariel |
| author_facet | Nir, Oron Vidra, Idan Neeman, Avi Kinarti, Barak Shamir, Ariel |
| contents | Streamlining content discovery within media archives requires integrating advanced data representations and effective visualization techniques for clear communication of video topics to users. The proposed system addresses the challenge of efficiently navigating large video collections by exploiting a fusion of visual, audio, and textual features to accurately index and categorize video content through a text-based method. Additionally, semantic embeddings are employed to provide contextually relevant information and recommendations to users, resulting in an intuitive and engaging exploratory experience over our topics ontology map using OpenAI GPT-4. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_07466 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | VCR: Video representation for Contextual Retrieval Nir, Oron Vidra, Idan Neeman, Avi Kinarti, Barak Shamir, Ariel Information Retrieval Multimedia Streamlining content discovery within media archives requires integrating advanced data representations and effective visualization techniques for clear communication of video topics to users. The proposed system addresses the challenge of efficiently navigating large video collections by exploiting a fusion of visual, audio, and textual features to accurately index and categorize video content through a text-based method. Additionally, semantic embeddings are employed to provide contextually relevant information and recommendations to users, resulting in an intuitive and engaging exploratory experience over our topics ontology map using OpenAI GPT-4. |
| title | VCR: Video representation for Contextual Retrieval |
| topic | Information Retrieval Multimedia |
| url | https://arxiv.org/abs/2402.07466 |