Abstract
To clearly visualize the video structure and provide a user-friendly video content review and retrieval system, we first apply total variation (TV) metric to video shot segmentation and propose a novel video visualization method in this paper. Firstly, video data visualization design principles are proposed based on the analysis of video data characteristics. Secondly, a TV metric is proposed to measure the distance between two video frames. Then, video shots are detected by TV metric, video key frames are extracted by k-means algorithm, and similar shots are retrieved based on frame dominant color. Finally, according to the proposed video visualization design principles, a hierarchical radial video visualization method is presented. Experimental results show that the proposed video visualization method can express the video content and the whole structure directly and clearly.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
