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Content-based adaptive compression of educational videos using phase correlation techniques

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Abstract

A serious bottleneck towards multimedia e-learning is the non-availability of required bandwidth to view the lecture videos at good resolution because of large size of lecture videos. Content-based compression of video data can greatly enhance the bandwidth utilization over scarce resource networks. In this paper, an educational video compression technique is presented that dynamically allocates the space according to the content importance of each video segment in the educational videos. We present a phase-correlation-based motion estimation and compensation algorithm that assists in the compression of important moving objects in an efficient manner. Temporal coherence is exploited in a two-phase manner. First, the frames with high similarity are categorized and encoded efficiently. Second, the compression ratio is adapted according to the frame content. Shots that are of high importance are stored at a higher bit rate as compared to the frames of relatively low importance. The importance and priority of the frames is computed automatically by our algorithm. Results over several hours of educational videos and comparison with the state-of-the-art compression algorithms illustrate the high compression performance of our technique.

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Authors and Affiliations

  1. Department of Electronics and Computer Engineering, Indian Institute of Technology, Roorkee, 247667, India

    Ankush Mittal, Sourabh Jain & Ankur Jain

  2. Department of Computer Science and Engineering, MVGR College of Engineering, Vizianagaram, AP, 535005, India

    Sumit Gupta

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  1. Ankush Mittal
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  2. Sumit Gupta
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  3. Sourabh Jain
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  4. Ankur Jain
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Correspondence to Ankush Mittal.

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Mittal, A., Gupta, S., Jain, S. et al. Content-based adaptive compression of educational videos using phase correlation techniques. Multimedia Systems 11, 249–259 (2006). https://doi.org/10.1007/s00530-006-0022-4

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