Fusion hierarchy motion feature for video saliency detection-Reference-Cited by-同舟云学术

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Fusion hierarchy motion feature for video saliency detection

Published:2023-09-20 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Xiao Fen^ORCID,Luo Huiyu,Zhang Wenlei,Li Zhen,Gao Xieping

Funder

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Scientific Research Foundation of Hunan Provincial Education Department

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16593-2.pdf

Reference69 articles.

1. Wang X, Qi C (2020) Detecting action-relevant regions for action recognition using a three-stage saliency detection technique. Multimed Tools Appl 79(11):7413–7433

2. Cizmeciler K, Erdem E, Erdem A (2022) Leveraging semantic saliency maps for query-specific video summarization. Multimed Tools Appl 81(12):17457–17482

3. Ullah J, Khan A, Jaffar MA (2018) Motion cues and saliency based unconstrained video segmentation. Multimed Tools Appl 77(6):7429–7446

4. Li S, Xu M, Wang Z, Sun X (2016) Optimal bit allocation for ctu level rate control in hevc. IEEE Trans Circ Syst Video Technol 27(11):2409–2424

5. Xu M, Liu Y, Hu R, He F (2018) Find who to look at: turning from action to saliency. IEEE Trans Image Proc 27(9):4529–4544

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