Paper
17 December 1998 Scene change detection and feature extraction for MPEG-4 sequences
Ajay Divakaran, Hiroshi Ito, Huifang Sun, Tommy Poon
Author Affiliations +
Abstract
In this paper, we present a new, computationally efficient, effective technique for detection of abrupt scene changes in MPEG-4/2 compressed video sequences. We combine the dc image-based approach of Feng, Lo, and Mehrpour. The bit allocation-based approach has the advantage of computational simplicity, since it only requires entropy decoding of the sequence. Since extraction of dc images from I- Frames/Objects is simple, the dc image-based technique of Yeo is a good alternative for comparison of I- Frames/Objects. For P-Frames/Objects, however, Yeo's algorithm requires additional computation. We find that the bit allocation-change based approach is prone to false detection in comparison to intracoded objects in MPEG-4 sequences. However, if a suspected scene/object change has been located accurately in a group of consecutive frames/objects, the bit allocation-based technique quickly and accurately locates the cut point therein. This motivates us to use dc image-based detection between successive I- Frames/Objects, to identify the subsequences with scene/object changes, and then use bit allocation-based detection to find the cut point therein. Our technique thus has only a marginally greater complexity than the completely bit allocation-based technique, but has greater accuracy. It is applicable to both MPEG-2 sequences and MPEG-4 multiple- object sequences. In the MPEG-4 multiple object case, we use a weighted sum of the change in each object of the frame, using the area of the object as the weight.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ajay Divakaran, Hiroshi Ito, Huifang Sun, and Tommy Poon "Scene change detection and feature extraction for MPEG-4 sequences", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333874
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CITATIONS
Cited by 6 scholarly publications and 1 patent.
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KEYWORDS
Video

Video compression

Feature extraction

Motion measurement

Image retrieval

Image segmentation

Databases

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