However the goods catalogs have been kept so far on analogue videos such as VHS so that it is still difficult to retrieve from the analogue videos the exact video segment of the commercial goods which users are interested in. To solve this problem, it is required to digitize the analogue videos of the goods catalog and segment them into individual goods section. The purpose of this study is to perform this segmentation of goods catalog video into individual goods section and to make it feasible to retrieve the segmented goods video sections when inquired. The goods catalog video produced at companies includes several goods in one analogue tape. Music sounds are usually superimposed on the narration for the advertisement effect.
Goods names are also superimposed on the movie as video captions.
In terms of the video segmentation into the individual goods, the speech seems to be effective because all the information about the goods is included. However the speech recognition seriously deteriorates when music sounds are superimposed so that it is difficult to use the speech recognition technology at present for the video segmentation. In this paper, we propose the utilization of video captions superimposed on the video image to identify the goods names and perform the video segmentation. In order to recognize the video captions, we need the video OCR software and a goods name dictionary. The video OCR software we propose in this paper is composed of video caption frame extraction, character region extraction, character binarization and character recognition.