Detecting Transition Logo for Sports Video Highlight Extraction

• Main Authors: Yu-Wei Wang, 王昱偉
• Other Authors: Po-Chyi Su
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/05654855541493868694

碩士 === 國立中央大學 === 資訊工程研究所 === 95 === Watching sports videos has always been an important and popular recreation and the broadcasting of sports games takes a large portion of TV programs. With the rapid advancement of digital technologies, audiences nowadays can enjoy watching the sports games at home with their high-quality audio-visual facilities and even record the videos by using digital video recorders (DVR.) When the audiences choose to record the video for time-shift purposes, they may not be interested in watching the whole game but the video highlight parts only. The audiences may be benefited a lot if a novel DVR is developed to extract the highlights from sports videos automatically and accurately. In the sports videos broadcasting nowadays, the highlights part are always followed by slow-motion replays. Besides, the editor usually inserts a transition effect between the normal frame and the replaying frame to inform the audiences. Therefore, the appearance of a transition effect has a direct linkage to the video highlight. In this thesis, we propose to detect transition effects for sports videos highlight extraction. In order to reduce the computational cost of hardware, the proposed method processes MPEG compressed bit-streams recorded from the DVR directly. We make use of the color information of MPEG streams, i.e., DC coefficients, and the motion information including motion vectors and the macro-block types in frames. Then we analyze to determine whether the transition effects occur by the characteristics of transition effects, which include a short period of appearance, fast color change and object moving etc. We tested several videos of baseball games with different transition effects. The experimental results demonstrate a 70% of accuracy.