JOURNAL ARTICLE

<title>Compressed-domain reverse play of MPEG video streams</title>

Susie WeeVasudev Bhaskaran

Year: 1999 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3528 Pages: 237-248   Publisher: SPIE

Abstract

We present several compressed-domain methods for reverse- play transcoding of MPEG video streams. A reverse-play transcoder takes any original MPEG IPB bitstream as input and creates an output MPEG IPB bitstream which, when decoded by a generic MPEG decoder, displays the original video games in reverse order. A baseline spatial-domain method requires decoding the MPEG bitstream, storing and reordering the decoded video frames, and re-encoding the reordered video. The proposed compressed-domain transcoding methods achieve an order of magnitude reduction in computational complexity over the baseline spatial-domain approach. Much of the savings are achieved by using the forward motion vector fields available in the forward-play MPEG bitstream to efficiently generate the reverse motion vector fields used in the reverse-play MPEG bitstream. Furthermore, the storage requirements of the compressed-domain methods are reduced and the resulting image quality is within 0.6 dB of the baseline spatial-domain approach for a difficult highly detailed computer-generated video sequence. For more typical video sequences, the resulting image quality is even closer to the baseline spatial-domain approach.

Keywords:
Bitstream Computer science Transcoding Motion vector Decoding methods MPEG-2 Video post-processing Encoding (memory) Real-time computing MPEG-4 Multiview Video Coding Computer vision Computer hardware Artificial intelligence Video processing Video tracking Algorithm Image (mathematics) Computer network Coding (social sciences) Mathematics

Metrics

44
Cited By
2.50
FWCI (Field Weighted Citation Impact)
8
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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