Video indexing by motion activity maps

Motion based video indexing is an important and active research area in content-based video retrieval. It explores the dynamic characteristics of video content and provides techniques for video representation and retrieval. In this paper, a newmotion-based approach is proposed, in which the image generated frommotion activity is used to index video. The proposed approach firstly computes the accumulation measurement of motion activity on the girds of video frames along the time axis. Then, the computed measurement is quantized into several gray levels and a gray image is generated from all measurements on the grids. The generated image called motion activity map (MAM) reserves the motion information on different spatial locations of video. The intensity of MAM is corresponding to the magnitude of motion activity. All MAMs are organized into a hierachical tree according to the video structure . Therefore, user can browse video by the MAMs tree. The proposed approach provides a hierachi...

• Type: Conference
• Year: 2002
• Where: ICIP
• Authors: Wei Zeng, Wen Gao, Debin Zhao
• Keywords: Content-based Video Retrieval, ICIP 2002, Image Processing, Interactive Video Retrieval, Motion Based Video