Content-based image and video indexing and retrieval
Proceedings of the 2005 joint Chinese-German conference on Cognitive systems
A unified scheme of shot boundary detection and anchor shot detection in news video story parsing
Multimedia Tools and Applications
An effective anchorperson shot extraction method robust to false alarms
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
An effective news anchorperson shot detection method based on adaptive audio/visual model generation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
An improved algorithm for anchor shot detection
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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Anchorperson shot detection is of significance for video shot semantic parsing and indexing information and clues extraction in content-based news video indexing and retrieval system. This paper presents a model-free anchorperson shot detection scheme based on the similarity among the anchorperson key frames throughout each news program. First, a news video is segmented into video shots with any effective video syntactic parsing algorithm. For each shot, a frame is extracted from the frame sequence as a representative key frame. Then the graph-theoretical clustering algorithm is performed on the key frames to identify the anchorperson frames. The anchorperson shots are further distinguished from other news video shots. The proposed scheme achieves a precision of 100% and a recall of over 97.69% in the anchorperson shot detection experiment of 217 news stories.