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Visual Saliency Based Aerial Video Summarization By Online Scene Classification
Jiewei Wang; Yunhong Wang; Zhaoxiang Zhang
Conference NameInternational Conference on Image and Graphics
Source PublicationICIG 2011
Conference Date12-15 August 2011
Conference PlaceHefei, China
AbstractCompared with traditional video summarization approaches, aerial video summarization is a new and challenging issue for its particular characteristics. Aerial video data is a massive data stream, without pre-edit structures such as sports or news video data, lack of camera motion such as zoom and pan. On account of these characteristics, we proposed a novel approach for summarization. First, we extract GIST features for each frame as the holistic scene representation. Then, we divide aerial video into temporal segments representing a visual scene using on-line clustering method by examine GIST features of each frame only once. Finally, we select several key frames from each scene for summarization according to visual saliency index (VSI) of each frame computed from their visual saliency map. In the paper, we proposed new criterion for estimation of temporal segmentation of streaming video. Experimental observations show the success of our approach on aerial video summarization.
KeywordStreaming Media Visualization Feature Extraction Cameras Humans Motion Segmentation Image Segmentation
Document Type会议论文
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Jiewei Wang,Yunhong Wang,Zhaoxiang Zhang. Visual Saliency Based Aerial Video Summarization By Online Scene Classification[C],2011.
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