Abstract
We address the problem of detecting shots of subjects that are interviewed in news sequences. This is useful since usually these kinds of scenes contain important and reusable information that can be used for other news programs. In a previous paper, we presented a technique based on a priori knowledge of the editing techniques used in news sequences which allowed a fast search of news stories. We present a new shot descriptor technique which improves the previous search results by using a simple, yet efficient algorithm, based on the information contained in consecutive frames. Results are provided which prove the validity of the approach.
Keywords
audio databases, data compression, database indexing, image segmentation, image sequences, object detection, television broadcasting, video coding, video databases audio segmentation, audio video correspondence, audio visual data, digital video coding, digital video databases, editing techniques, efficient algorithm, news programs, news sequences, people detection, reusable information, shot activity, video segmentation, video sequence indexing applications
