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A Fast Method for Detection of Video Shot Boundaries Using Compressed Domain Features of H.264 for PVR Enabled Set Top Boxes: A Novel Approach

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3 Author(s)
Tanushyam Chattopadhyay ; Innovation Lab., Tata Consultancy Services Ltd., Kolkata, India ; Ayan Chaki ; Utpal Garain

In this paper authors have proposed an algorithm to automatically identify video shot boundaries using compressed domain features of H.264. In this method the compressed domain features of H.264 video obtained during encoding the video data is used to identify the shot boundaries. The features used in our approach are (i) Number of I macroblocks (MBs) in a P frame, (ii) No of Sub-blocks containing strong de-blocking filter edges and (iii) DC component of integer transformed luma coefficients. We compare these features in every two consecutive frames of video to decide whether there is a shot boundary or not. Experimental results show that the proposed approach can work in real time in any commercially available DSP platform and can detect the shot boundaries successfully. The system on different type of videos gives a recall rate of 1.0 and a precision rate of .877.

Published in:

Computational Intelligence, Communication Systems and Networks, 2009. CICSYN '09. First International Conference on

Date of Conference:

23-25 July 2009