Doo Sun Hwang

An effective news anchorperson shot detection method based on adaptive audio/visual model generation

A multi-modal method to improve the performance of the anchorperson shot detection for news story segmentation is proposed in this paper. The anchorperson voice information is used for the verification of anchorperson shot candidates extracted by visual information. The algorithm starts with the anchorperson voice shot candidate extraction using time and silence condition. The anchorperson templates are generated from the anchorperson face and cloth information from the anchorperson voice shots extracted. The anchorperson voice models are then created after segregating anchorperson voice shots containing 2 or more voices. The anchorperson voice model verifies the anchorperson shot candidates obtained from visual information. 720 minutes of news programs are tested and experimental results are demonstrated.

Anchor Frame Detection in News Video Using Anchor Object Extraction

In this paper, an algorithm for anchor frame detection in news video is proposed, which consists of four steps. First, the cumulative histogram method is used to detect shot boundaries in order to segment a news video into video shots. Second, skin color information is used to detect face regions in each video shot. Third, color information of upper body regions is used to extract anchor object. Then, a graph-theoretic cluster analysis algorithm is utilized to classify the news video into anchor-person shots and non-anchor shots. Experimental results have shown the effectiveness of the proposed algorithm.

An effective anchorperson shot extraction method robust to false alarms

A new method to improve the performance of the anchorperson shot extraction from news programs is proposed in this paper. The anchorperson voice information is used for the verification of anchorperson shot candidates extracted by visual information. The algorithm starts with the anchorperson voice shot extraction using time and silence condition. The anchorperson voice models are created after segregating anchorperson voice shots containing 2 or more voices. The anchorperson voice model verifies the anchorperson shot candidates obtained from visual information. 720 minutes of news programs are tested and experimental results are demonstrated.