부산대학교 도서관

This work introduces a novel approach to extract meaningful content information from video by collaborative integration of image understanding and natural language processing. We developed a person browser systemthat associates faces and overlaid name texts in videos. This approach takes news videos as a knowledge source,then automatically extracts face and assoicated name text as content information. The proposed framework consistsof the text detection module, the face detection module, and the person indexing database module. The successfulresults of person extraction reveal that the proposed methodology of integrated use of image understanding techniques and natural language processing technique is headed in the right direction to achieve our goal of accessingreal content of multimedia information
This work introduces a novel approach to extract meaningful content information from video by collaborative integration of image understanding and natural language processing. We developed a person browser systemthat associates faces and overlaid name texts in videos. This approach takes news videos as a knowledge source,then automatically extracts face and assoicated name text as content information. The proposed framework consistsof the text detection module, the face detection module, and the person indexing database module. The successfulresults of person extraction reveal that the proposed methodology of integrated use of image understanding techniques and natural language processing technique is headed in the right direction to achieve our goal of accessingreal content of multimedia information