DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling
Yiming Ju, Hanyu Zhao, Quanyue Ma, Donglin Hao, Chenwei Wu, Ming Li, Songjing Wang, Tengfei Pan
Abstract
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://youtu.be/L7bKfPBm2tU
BibTeX
@inproceedings{ijcai2026_datacubeavideore,
title = {DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling},
author = {Yiming Ju and Hanyu Zhao and Quanyue Ma and Donglin Hao and Chenwei Wu and Ming Li and Songjing Wang and Tengfei Pan},
booktitle = {IJCAI 2026},
year = {2026}
}