Spatially reduced image extraction from MPEG-2 video: fast algorithms and applications

Junehwa Song; Boon-Lock Yeo

doi:10.1117/12.298473

23 December 1997 Spatially reduced image extraction from MPEG-2 video: fast algorithms and applications

Junehwa Song, Boon-Lock Yeo

Proceedings Volume 3312, Storage and Retrieval for Image and Video Databases VI; (1997) https://doi.org/10.1117/12.298473
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

The MPEG-2 video standards are targeted for high-quality video broadcast and distribution, and are optimized for efficient storage and transmission. However, it is difficult to process MPEG-2 for video browsing and database applications without first decompressing the video. Yeo and Liu have proposed fast algorithms for the direct extraction of spatially reduced images from MPEG-1 video. Reduced images have been demonstrated to be effective for shot detection, shot browsing and editing, and temporal processing of video for video presentation and content annotation. In this paper, we develop new tools to handle the extra complexity in MPEG-2 video for extracting spatially reduced images. In particular, we propose new classes of discrete cosine transform (DCT) domain and DCT inverse motion compensation operations for handling the interlaced modes in the different frame types of MPEG-2, and design new and efficient algorithms for generating spatially reduced images of an MPEG-2 video. We also describe key video applications on the extracted reduced images.

Citation Download Citation

Junehwa Song and Boon-Lock Yeo "Spatially reduced image extraction from MPEG-2 video: fast algorithms and applications", Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); https://doi.org/10.1117/12.298473

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