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A survey on compressed domain video analysis techniques

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Abstract

Image and video analysis requires rich features that can characterize various aspects of visual information. These rich features are typically extracted from the pixel values of the images and videos, which require huge amount of computation and seldom useful for real-time analysis. On the contrary, the compressed domain analysis offers relevant information pertaining to the visual content in the form of transform coefficients, motion vectors, quantization steps, coded block patterns with minimal computational burden. The quantum of work done in compressed domain is relatively much less compared to pixel domain. This paper aims to survey various video analysis efforts published during the last decade across the spectrum of video compression standards. In this survey, we have included only the analysis part, excluding the processing aspect of compressed domain. This analysis spans through various computer vision applications such as moving object segmentation, human action recognition, indexing, retrieval, face detection, video classification and object tracking in compressed videos.

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Acknowledgments

This work was supported by CARS (CARS-25) project from Centre for Artificial Intelligence and Robotics, Defence Research and Development Organization (DRDO), Govt. of India. The authors wish to express grateful thanks to the referees for their useful comments and suggestions to improve the presentation of this paper.

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  1. Video Analytics Laboratory, SERC, Indian Institute of Science, Bangalore, India

    R. Venkatesh Babu, Manu Tom & Paras Wadekar

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  1. R. Venkatesh Babu
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Babu, R.V., Tom, M. & Wadekar, P. A survey on compressed domain video analysis techniques. Multimed Tools Appl 75, 1043–1078 (2016). https://doi.org/10.1007/s11042-014-2345-z

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