DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling

Fuente: arXiv
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Main Authors: Ju, Yiming, Zhao, Hanyu, Ma, Quanyue, Hao, Donglin, Wu, Chengwei, Li, Ming, Wang, Songjing, Pan, Tengfei
Format: Preprint
Published: 2026
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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