NDLI: Induced Markov chains for the encoding of graph-based data

Content Provider	IEEE Xplore Digital Library
Author	Muller, S.P.
Copyright Year	2014
Description	Author affiliation: Inst. of Math., Humboldt-Univ. zu Berlin, Berlin, Germany (Muller, S.P.)
Abstract	Graph-based data occurs in various applications, e.g. finite-element simulations and computer-generated imagery. There are several techniques to compress these data sets with prediction methods and encoding of the residual. The focus of these methods is almost always on the prediction rather than on encoding. We present a new encoding scheme based on induced Markov chains (iMc) reflecting the underlying distribution of graph-based data. For this purpose, we define transition probabilities between the occurring values that are dependent on the topology of the graph. The basic idea is to transform a topological relation into a value-based one. The transition probabilities along with an initial distribution can be interpreted as a Markov chain. The topology combined with the transition probabilities can be used as side information for an encoder. Additionally we combine the iMc encoding scheme with tree and time differences as prediction methods, since some correlations cannot be entirely removed neither by the prediction methods, nor by the iMc on its own.
Starting Page	000143
Ending Page	000148
File Size	636528
Page Count	6
File Format	PDF
e-ISBN	9781479918126
DOI	10.1109/ISSPIT.2014.7300578
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encoding Markov processes Probability Time complexity Quantization (signal) Decoding Yttrium
Content Type	Text
Resource Type	Article

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

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