DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866918343730003968 |
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| author | Ju, Yiming Zhao, Hanyu Ma, Quanyue Hao, Donglin Wu, Chengwei Li, Ming Wang, Songjing Pan, Tengfei |
| author_facet | Ju, Yiming Zhao, Hanyu Ma, Quanyue Hao, Donglin Wu, Chengwei Li, Ming Wang, Songjing Pan, Tengfei |
| contents | Large-scale video repositories are increasingly available for modern video understanding and generation tasks. However, transforming raw videos into high-quality, task-specific datasets remains costly and inefficient. We present DataCube, an intelligent platform for automatic video processing, multi-dimensional profiling, and query-driven retrieval. DataCube constructs structured semantic representations of video clips and supports hybrid retrieval with neural re-ranking and deep semantic matching. Through an interactive web interface, users can efficiently construct customized video subsets from massive repositories for training, analysis, and evaluation, and build searchable systems over their own private video collections. The system is publicly accessible at https://datacube.baai.ac.cn/. Demo Video: https://baai-data-cube.ks3-cn-beijing.ksyuncs.com/custom/Adobe%20Express%20-%202%E6%9C%8818%E6%97%A5%20%281%29%281%29%20%281%29.mp4 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_16231 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling Ju, Yiming Zhao, Hanyu Ma, Quanyue Hao, Donglin Wu, Chengwei Li, Ming Wang, Songjing Pan, Tengfei Computer Vision and Pattern Recognition Large-scale video repositories are increasingly available for modern video understanding and generation tasks. However, transforming raw videos into high-quality, task-specific datasets remains costly and inefficient. We present DataCube, an intelligent platform for automatic video processing, multi-dimensional profiling, and query-driven retrieval. DataCube constructs structured semantic representations of video clips and supports hybrid retrieval with neural re-ranking and deep semantic matching. Through an interactive web interface, users can efficiently construct customized video subsets from massive repositories for training, analysis, and evaluation, and build searchable systems over their own private video collections. The system is publicly accessible at https://datacube.baai.ac.cn/. Demo Video: https://baai-data-cube.ks3-cn-beijing.ksyuncs.com/custom/Adobe%20Express%20-%202%E6%9C%8818%E6%97%A5%20%281%29%281%29%20%281%29.mp4 |
| title | DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2602.16231 |