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Psychophysical findings have shown that human vision system has an ability to improve target search by enhancing the representation of image components that are related to the searched target, which ...
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shifting. Each group of ...
This paper presents a robust video fingerprinting based on visual attention regions. Video fingerprints, which are a set of short feature vectors, are unique to video clips and used for video identif...
In this paper, by considering the multiple spatial-temporal characteristic of visual perception system, we propose a novel home video attention analysis method. Firstly, each frame of the video is se...
This paper presents a generic Virtual Content Insertion (VCI) system based on visual attention analysis. VCI is an emerging application of video analysis and has been used in video augmentation and ad...
From visual perception viewpoint, actions in videos can capture high-level semantics for video content understanding and retrieval.However, action-level video retrieval meets great challenges, due to ...
In this paper, we propose a visual-aural attention modeling based video content analysis approach, which can be used to automatically detect the highlights of the popular TV program—talk show video. F...
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking framework to effectiv...
Visual attention has been a hot research point for many years and many new applications are emerging especially for wireless multimedia services. In this paper a novel region-based visual attention is...

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