A scene segmentation algorithm combining the body and the edge of the object

2022 ◽  
Vol 59 (2) ◽  
pp. 102840
Author(s):  
Xianfeng Ou ◽  
Hanpu Wang ◽  
Wujing Li ◽  
Guoyun Zhang ◽  
Siyuan Chen
2014 ◽  
Vol 44 (11) ◽  
pp. 2232-2240 ◽  
Author(s):  
Zhi Liu ◽  
Shuqiong Xu ◽  
Yun Zhang ◽  
Chun Lung Philip Chen

2014 ◽  
Vol 513-517 ◽  
pp. 514-517
Author(s):  
Yun Zhu Xiang

In order to quickly and effectively segment the video scene, a multi-modality video scene segmentation algorithm with shot force competition is proposed in this paper. This method is take full account of temporal associated co-occurrence of multimodal media data, to calculate the similarity between video shot by merging the video low-level features, then go to the video scene segmentation based on the judgment method of shot competition. The authors experiments show that the video scene can be efficiently separated by the method proposed in the paper.


2017 ◽  
Author(s):  
Wei Liu ◽  
Huan Tian ◽  
Jun Hu ◽  
Shuai Cheng ◽  
Huai Yuan

2019 ◽  
Vol 78 (22) ◽  
pp. 31617-31632
Author(s):  
Lin Shi ◽  
Zengxiao Chi ◽  
Xiangzeng Meng

2020 ◽  
Vol 43 ◽  
Author(s):  
David Spurrett

Abstract Comprehensive accounts of resource-rational attempts to maximise utility shouldn't ignore the demands of constructing utility representations. This can be onerous when, as in humans, there are many rewarding modalities. Another thing best not ignored is the processing demands of making functional activity out of the many degrees of freedom of a body. The target article is almost silent on both.


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