A novel multilabel video retrieval method using multiple video queries and deep hash codes-Reference-Cited by-同舟云学术

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A novel multilabel video retrieval method using multiple video queries and deep hash codes

Published:2022-03-08 Issue:13 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Akbacak Enver¹^ORCID

Affiliation:

1. Faculty of Engineering, Department of Computer Engineering Haliç University Istanbul Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6927

Reference48 articles.

1. LinD FidlerS KongC UrtasunR.Visual semantic search: retrieving videos via complex textual queries; 2014:2657‐2664.

2. A survey of variational and CNN-based optical flow techniques

3. SimonyanK ZissermanA.Two‐stream convolutional networks for action recognition in videos; 2014. arXiv preprint arXiv:1406.2199.

4. Multi-stream CNN: Learning representations based on human-related regions for action recognition

5. WuZ JiangYG WangX YeH XueX.Multi‐stream multi‐class fusion of deep networks for video classification; 2016:791‐800.

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