Shot Boundary Detection for H.264/AVC Bitstreams with Frames Containing Multiple Types of Slices

In this paper, a novel shot boundary detection algorithm is introduced for H.264/AVC bitstreams. This algorithm relies on features present in a compressed video bitstream, i.e., macroblock types and reference directions. In contrast to existing algorithms, the proposed technique is able to analyze bitstreams with frames containing different types of slices. To deal with such frames, formulas are presented that work on inter- and intra-coded slices. The results obtained for the different types of slices are combined by calculating a linear combination, taking into account their size. This way, a metric is found that can be used for the automatic detection of shot boundaries. Results show that the proposed algorithm has a high accuracy in terms of recall and precision for video sequences with frames containing multiple slice types.

[1]  Wesley De Neve,et al.  Flexible macroblock ordering in H.264/AVC , 2006, J. Vis. Commun. Image Represent..

[2]  Alan Hanjalic,et al.  Shot-boundary detection: unraveled and resolved? , 2002, IEEE Trans. Circuits Syst. Video Technol..

[3]  Wen Gao,et al.  A novel compressed domain shot segmentation algorithm on H.264/AVC , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[4]  Sung Kim,et al.  A Scene Change Detection in H.264/AVC Compression Domain , 2005, PCM.

[5]  Yuan Lin,et al.  Characterization of slice-based H.264/AVC encoded video traffic using token buckets , 2007, Fourth European Conference on Universal Multiservice Networks (ECUMN'07).

[6]  Rainer Lienhart,et al.  Comparison of automatic shot boundary detection algorithms , 1998, Electronic Imaging.

[7]  Wesley De Neve,et al.  Temporal Video Segmentation on H.264/AVC Compressed Bitstreams , 2007, MMM.

[8]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[9]  Ullas Gargi,et al.  Performance characterization of video-shot-change detection methods , 2000, IEEE Trans. Circuits Syst. Video Technol..