Abstract:

Based on the  two basic features of advertisements: frequent shot changes and apparent brand information, the curve of histogram difference was obtained via histogram difference between two adjacent frames, and four common shot changes such as cut, dissolve, fade\|in/out and wipe were analyzed so as to  recognize shot change detection. As for those advertisements with low shot change frequencies, the text detection method based on maximum gradient difference was employed to extract the brand information. According to the above ideals and algorithms, a video advertisement retrieval system was designed and realized. A general precision rate of 8332% in about 15 min of video frames indicates the system could preliminarily satisfy the performance requirement according to video consecutive sequence.

Key words: advertisement retrieval, shot change, text detection