Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s12650-014-0266-6 | Journal of Visualization |
Keywords | Field | DocType |
Video visualization,Visualization principle,Total variation,Hierarchical radial | Computer vision,Block-matching algorithm,Data visualization,Video post-processing,Computer science,Motion compensation,Multiview Video Coding,Video tracking,Smacker video,Artificial intelligence,Video compression picture types | Journal |
Volume | Issue | ISSN |
18 | 2 | 1343-8875 |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yadong Wu | 1 | 43 | 8.05 |
| Song Wang | 2 | 26 | 9.08 |
| Haiyang Wang | 3 | 573 | 73.18 |
| Qiusheng Li | 4 | 3 | 1.43 |
| Hongyu Jiang | 5 | 5 | 1.44 |
| Yonggang Zou | 6 | 1 | 0.36 |