NDLI: Improved fine granular scalable coding with interlayer prediction

Content Provider	IEEE Xplore Digital Library
Author	Yuwen He Xuejun Zhao Yuzhuo Zhong Shiqiang Yang
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Yuwen He; Xuejun Zhao; Yuzhuo Zhong; Shiqiang Yang)
Abstract	This paper proposes an improved fine granular scalable (FGS) coding method with interlayer prediction. There are two important aspects to improving FGS coding efficiency. One is a low bit-rate video coding method and the other is interlayer prediction with enhancement layer reference at base-layer coding. The whole scalable coding performance with the proposed method is greatly enhanced over a wide bandwidth. New spatial and temporal prediction methods are investigated in order to increase FGS base-layer low bit-rate coding efficiency. There are nine kinds of spatial prediction modes for intra coding to exploit the pixels' spatial correlation, including DC and eight directional predictions, and multiple model-based motion prediction is utilized to predict a large irregular motion for inter coding, including a 6-parameter affine model. The reference for motion compensation is adaptively selected from base layer or enhancement layer according to their prediction error. The references are reconstructed at two layers. The references for prediction and reconstruction can be different in order to decrease drifting error due to bit-stream truncation. The coding efficiency of our base layer coding can be comparable with that of latest draft H.26L and holds a compelling improvement compared to MPEG-4. With our proposed scalable coding scheme, the whole FGS coding efficiency can be improved by about 2.0 dB at low bit-rate and 3.0-4.0 dB at medium or high bit-rate. The visual quality of the decoded video is also impressively improved at all decoded bit-rates.
Sponsorship	Brandeis Univ. IEEE Comput. Soc
Starting Page	172
Ending Page	181
File Size	373554
Page Count	10
File Format	PDF
ISBN	0769514774
ISSN	10680314
DOI	10.1109/DCC.2002.999955
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-04-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MPEG 4 Standard Decoding Video coding Bandwidth Streaming media Image reconstruction Scalability Videoconference Video compression Predictive models
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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