March 22, 2024, 4:43 a.m. | Shan Yu, Zhenting Zhu, Yu Chen, Hanchen Xu, Pengzhan Zhao, Yang Wang, Arthi Padmanabhan, Hugo Latapie, Harry Xu

cs.LG updates on arXiv.org arxiv.org

arXiv:2311.01623v2 Announce Type: replace-cross
Abstract: Video analytics is widely used in contemporary systems and services. At the forefront of video analytics are video queries that users develop to find objects of particular interest. Building upon the insight that video objects (e.g., human, animals, cars, etc.), the center of video analytics, are similar in spirit to objects modeled by traditional object-oriented languages, we propose to develop an object-oriented approach to video analytics. This approach, named VQPy, consists of a frontend$\unicode{x2015}$a Python …

abstract analytics animals arxiv building cars center cs.ai cs.cl cs.cv cs.lg etc human insight modern object object-oriented objects queries services systems type video video analytics

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