Pyramid regional graph representation learning for content-based video retrieval-Reference-Cited by-同舟云学术

Pyramid regional graph representation learning for content-based video retrieval

Published:2021-05 Issue:3 Volume:58 Page:102488
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Zhao Guoping,Zhang Mingyu,Li Yaxian,Liu Jiajun,Zhang Bingqing,Wen Ji-Rong

Funder

Commonwealth Scientific and Industrial Research Organisation

National Natural Science Foundation of China

Renmin University of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference55 articles.

1. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions;Andoni,2006

2. Three things everyone should know to improve object retrieval;Arandjelovic,2012

3. Babenko, A., & Lempitsky, V. (2015). Aggregating local deep features for image retrieval. In Proceedings of the IEEE international conference on computer vision (pp. 1269–1277).

4. Neural codes for image retrieval;Babenko,2014

5. Surf: Speeded up robust features;Bay,2006

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