NDLI: End-to-end rate-distortion optimisation of multiple description coding utilising multiple redundant pictures

Content Provider	IET Digital Library
Author	Xu, Weiwei Chen, Yaowu
Abstract	The rate-distortion optimisation of redundant picture-based multiple description coding is studied, and the minimisation of the end-to-end distortion is attacked by fully exploring the redundant allocation utilising multiple redundant pictures. The amount and relative encoding parameters of redundant pictures for each frame are adaptively decided for multiple redundant pictures, and this is different from the relevant existing description generation methods, which mainly focus on determining the amount of inserted redundancy with a fixed single redundant picture. The relationship of encoding parameters between each redundant picture of the same frame is derived according to the classification and formulation of relative distortion and rate. To accelerate the encoding process, the statistical properties between mismatch distortion, bit rate and encoding parameter are explored for the fast decision of redundant picture number. The experimental results show that the proposed method improves the overall end-to-end rate-distortion performance compared with the state-of-the-art multiple description coding method utilising redundant coding.
Starting Page	1520
Ending Page	1522
Page Count	3
ISSN	00135194
Volume Number	50
e-ISSN	1350911X
Issue Number	Issue 21, Oct (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/50/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.0766
Journal	Electronics Letters
Publisher Date	2014-09-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Description Generation Method End-to-end Rate-distortion Optimisation Fixed Single Redundant Picture Image And Video Coding Image Classification Image Coding Image Recognition MDC Method Minimisation Multiple Redundant Picture-based Multiple Description Coding Optimisation Technique Rate Distortion Theory Redundant Allocation Redundant Picture Number Statistical Property
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

End-to-End Rate-Distortion Optimized Description Generation for H.264 Multiple Description Video Coding

Multiple description H.264 video coding with redundant pictures

Multiple description video coding with h.264/avc redundant pictures.

Distributed video streaming using multiple description coding and unequal error protection (2005)

Drift-free multiple description video coding with redundancy rate-distortion optimization (2005)

Multiple description h.264 video coding with redundant pictures

Multiple description video coding based on Lagrangian rate allocation and JPEG2000

Civanlar , A flexible multiple description coding framework for adaptive peer-to-peer video streaming

Model-based Lagrangian multiplier derivation method for depth map coding

End-to-end rate-distortion optimisation of multiple description coding utilising multiple redundant pictures

Similar Documents

End-to-End Rate-Distortion Optimized Description Generation for H.264 Multiple Description Video Coding

Multiple description H.264 video coding with redundant pictures

Multiple description video coding with h.264/avc redundant pictures.

Distributed video streaming using multiple description coding and unequal error protection (2005)

Drift-free multiple description video coding with redundancy rate-distortion optimization (2005)

Multiple description h.264 video coding with redundant pictures

Multiple description video coding based on Lagrangian rate allocation and JPEG2000

Civanlar , A flexible multiple description coding framework for adaptive peer-to-peer video streaming

Model-based Lagrangian multiplier derivation method for depth map coding

End-to-end rate-distortion optimisation of multiple description coding utilising multiple redundant pictures