An Abstraction of Low Level Video Features for Automatic Retrievals of Explosion Scenes

• Published in: Advances in Multimedia Information Processing — PCM 2002 pp. 200 - 208
• Main Authors: Nang, Jongho, Jeong, Jinguk, Park, Sungyong, Cha, Hojung
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2002; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Color Histogram; Computer science; control theory; systems; Dominant Color; Edge Image; Edge Pixel; Electronics; Exact sciences and technology; Information systems. Data bases; Memory organisation. Data processing; Recording and replay of audio and video signals; Retrieval Algorithm; Software; Storage and reproduction of information; Video production; Image retrieval; Information retrieval; Abstraction; Video library; Electronic library; Search algorithm
• ISBN: 9783540002628; 3540002626
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/3-540-36228-2_26

This paper proposes an abstraction mechanism of the low-level digital video features for the automatic retrievals of the explosion scenes from the digital video library. In the proposed abstraction mechanism, the regional dominant colors of the key frame and the motion energy of the shot are defined as the primary low-level visual features of the shot for the explosion scene retrievals. The regional dominant colors of shot are selected by dividing its key frame image into several regions and extracting their regional dominant colors, and the motion energy of the shot is defined as the edge image differences between key frame and its neighboring frame. Upon the extensive experimental results, we could argue that the recall and precision of the proposed abstraction and detecting algorithm are about 0.8, and also found that they are not sensitive to the thresholds.