Travel video scene detection by search

Wei Ta Chu, Cheng Jung Li, Tsung Che Lin

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

We propose an approach to conduct video scene detection especially for travel videos captured by amateur photographers in journeys. The correlation between a travel video and its corresponding text-based travel schedule is discovered. Because scene boundaries are clearly defined in schedules, we segment videos into scenes by checking the discovered cross-media correlation. To make these two modalities comparable, photos related to the visited scenic spots are retrieved from image search engines, by the keywords extracted from text-based schedules. Sequences of keyframes and retrieved photos are represented as visual word histograms, and the problem of correlation determination is then transformed as an approximate sequence matching problem. The experimental results verify the effectiveness of the proposed idea, and show the promising research direction of utilizing cross-media correlation in media analysis.

原文English
主出版物標題Proceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
頁面180-185
頁數6
DOIs
出版狀態Published - 2010 十二月 1
事件4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010 - Singapore, Singapore
持續時間: 2010 十一月 142010 十一月 17

出版系列

名字Proceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010

Other

Other4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
國家Singapore
城市Singapore
期間10-11-1410-11-17

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

指紋 深入研究「Travel video scene detection by search」主題。共同形成了獨特的指紋。

  • 引用此

    Chu, W. T., Li, C. J., & Lin, T. C. (2010). Travel video scene detection by search. 於 Proceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010 (頁 180-185). [5673861] (Proceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010). https://doi.org/10.1109/PSIVT.2010.37