Spatiotemporal cue fusion-based saliency extraction and its application in video compression-Reference-Cited by-同舟云学术

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Spatiotemporal cue fusion-based saliency extraction and its application in video compression

Published:2022 Issue: Volume:2 Page:177-185
ISSN:2667-2413
Container-title:Cognitive Robotics
language:en
Short-container-title:Cognitive Robotics

Author:

Li Ke,Luo Zhonghua,Zhang Tong,Ruan Yinglan,Zhou Dan

Publisher

Elsevier BV

Subject

General Medicine

Reference27 articles.

1. Weakly alignment-free RGBT salient object detection with deep correlation network;Tu;IEEE Trans. Image Process.,2022

2. Activity recognition using temporal optical flow convolutional features and multilayer LSTM;Ullah;IEEE Trans. Ind. Electron.,2019

3. Saliency detection for unconstrained videos using superpixel-level graph and spatiotemporal propagation;Liu;IEEE Trans. Circuits Syst. Video Technol.,2017

4. Video saliency incorporating spatiotemporal cues and uncertainty weighting;Fang;IEEE Trans. Image Process.,2014

5. Video salient object detection via fully convolutional networks;Wang;IEEE Trans. Image Process.,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Some Features of Wavelets in the Search for Regularities in Applied Data;2023 IX International Conference on Information Technology and Nanotechnology (ITNT);2023-04-17

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