標題: Motion activity based semantic video similarity retrieval
作者: Chen, DY
Lee, SY
Chen, HT
資訊工程學系
Department of Computer Science
公開日期: 2002
摘要: Semantic feature extraction of video shots and fast video sequence matching are important and required for efficient retrieval in a large video database. In this paper, a novel mechanism of similarity retrieval is proposed. Similarity measure between video sequences considering the spatio-temporal variation through consecutive frames is presented. For bridging the semantic gap between low-level features and the rich meaning that users desire to capture, video shots are analyzed and characterized by the high-level feature of motion activity in compressed domain. The extracted features of motion activity are further described by the 2D-histogram that is sensitive to the spatio-temporal variation of moving objects. In order to reduce the dimensions of feature vector space in sequence matching, Discrete Cosine Transform (DCT) is exploited to map semantic features of consecutive frames to the frequency domain while retains the discriminatory information and preserves the Euclidean distance between feature vectors. Experiments are performed oil MPEG-7 testing videos, and the results of sequence matching show that a few DCT transformed coefficients are adequate and thus reveal the effectiveness of the proposed mechanism of video retrieval.
URI: http://hdl.handle.net/11536/29163
ISBN: 3-540-00262-6
ISSN: 0302-9743
期刊: ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2002, PROCEEDING
Volume: 2532
起始頁: 319
結束頁: 327
顯示於類別:會議論文