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Multi-task deep visual-semantic embedding for video thumbnail selection
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Given the tremendous growth of online videos, video thumbnail, as the common visualization form of video content, is becoming increasingly important to influence user's browsing and searching experience. However, conventional methods for video thumbnail selection often fail to produce satisfying results as they ignore the side semantic information (e.g., title, description, and query) associated with the video. As a result, the selected thumbnail cannot always represent video semantics and the
doi:10.1109/cvpr.2015.7298994
dblp:conf/cvpr/LiuMZCL15
fatcat:74q724lavzgvrannwyvkiuhekq