Title :
A Total Variation Based Spiral Video Visualization Method
Author :
Yadong Wu ; Song Wang ; Shuiqiang Lin ; Yongguo Han
Author_Institution :
Sch. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang, China
Abstract :
In order to clearly visualize the video structure and provide a user-friendly video content review and retrieve system, we firstly 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, and video key frames are extracted by K-means algorithm. Finally, according to the proposed video visualization design principles, a spiral video visualization method is proposed. Experimental results show that the proposed video visualization method can express the video content and the whole structure directly and clearly.
Keywords :
data visualisation; feature extraction; image segmentation; video retrieval; TV metric; k-means algorithm; total variation based spiral video visualization method; video content review; video data characteristics analysis; video data visualization design principles; video key frame extraction; video retrieve system; video shot segmentation; Algorithm design and analysis; Data visualization; Measurement; Rendering (computer graphics); Spirals; TV; Visualization; Shot Segmentation; Video visualization; spiral structure; total variation; visualization principle;
Conference_Titel :
Visualization Symposium (PacificVis), 2014 IEEE Pacific
Conference_Location :
Yokohama
DOI :
10.1109/PacificVis.2014.37
