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Overview of fine granularity scalability in MPEG-4 video standard

Published: 01 March 2001 Publication History

Abstract

Streaming video profile is the subject of an Amendment of MPEG-4, and is developed in response to the growing need on a video coding standard for streaming video over the Internet. It provides the capability to distribute single-layered frame-based video over a wide range of bit rates with high coding efficiency. It also provides fine granularity scalability (FGS), and its combination with temporal scalability, to address a variety of challenging problems in delivering video over the Internet. This paper provides an overview of the FGS video coding technique in this Amendment of the MPEG-4

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  1. Overview of fine granularity scalability in MPEG-4 video standard

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    cover image IEEE Transactions on Circuits and Systems for Video Technology
    IEEE Transactions on Circuits and Systems for Video Technology  Volume 11, Issue 3
    March 2001
    192 pages

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    IEEE Press

    Publication History

    Published: 01 March 2001

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    • (2024)ZLS: An Efficient Lossless Compression for Depth-Video StreamingProceedings of the 29th International ACM Conference on 3D Web Technology10.1145/3665318.3677147(1-12)Online publication date: 25-Sep-2024
    • (2024)LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & NetworksProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661856(519-533)Online publication date: 3-Jun-2024
    • (2023)Optimizing Real-Time Video Experience with Data Scalable CodecProceedings of the 2023 Workshop on Emerging Multimedia Systems10.1145/3609395.3611108(15-21)Online publication date: 10-Sep-2023
    • (2022)Towards Metaheuristic Scheduling Techniques in Cloud and Fog: An Extensive Taxonomic ReviewACM Computing Surveys10.1145/349452055:3(1-43)Online publication date: 3-Feb-2022
    • (2021)A Novel Information Hiding Method for H.266/VVC Based on Selections of Luminance Transform and Chrominance Prediction Modes2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC52423.2021.9659244(3158-3163)Online publication date: 17-Oct-2021
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