NDLI: Human Perception of Asymmetrical 3-D Inputs

Content Provider	IEEE Xplore Digital Library
Author	Changwoo Ha Wanjae Lee Soonjong Jin Jechang Jeong
Copyright Year	2007
Description	Author affiliation: Hanyang Univ., Seoul (Changwoo Ha; Wanjae Lee; Soonjong Jin; Jechang Jeong)
Abstract	The 3DTV services can be seen as a general case of the multi-view video that has been receiving a significant attention lately. However, the key factors that influence the success of 3DTV are the availability of content, the ease of use, the quality of contents, and the reduction of cost. This paper deals primarily with the perceptual improvement in image quality, especially based on human factors. An optimal asymmetrical coding method for binocular and multi-view images is presented. The quantitative value of asymmetrical rate to maintain optimized subjective image quality is explored. Also we analyze how edges of 2D images affect on 3D perceptions and propose an edge-preserving algorithm to perform perceptual improvements. Experimental results demonstrate that the proposed algorithm enhances subjective image quality much better than conventional methods.
Starting Page	1
Ending Page	4
File Size	1019055
Page Count	4
File Format	PDF
ISBN	9781424407217
DOI	10.1109/3DTV.2007.4379470
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-07
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Costs Human factors Multi-view Artifacts Asymmetrical Coding Quadratic programming Evaluation Method Image quality Human Perception Image coding Image analysis Human Factor Bandwidth 3-D TV Performance analysis Testing
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

Fractal coding of a multi-view 3-D image

Multi-View Image Coding Using 3-D Voxel Models (2005)

Fractal coding of a multi-view 3-D image (1994)

Human perception of mismatched stereoscopic 3D inputs

QOS Mapping using Human Factors for Fine Granular Scalability

Multi-layered coding of depth for virtual view synthesis

Multi-View Image Coding in 3-D Space Based on 3-D Reconstruction

Evaluation of 3DTV Service using Asymmetric View Coding Based on MPEG-2

Multi-View Video Plus Depth Representation and Coding

Human Perception of Asymmetrical 3-D Inputs

Similar Documents

Fractal coding of a multi-view 3-D image

Multi-View Image Coding Using 3-D Voxel Models (2005)

Fractal coding of a multi-view 3-D image (1994)

Human perception of mismatched stereoscopic 3D inputs

QOS Mapping using Human Factors for Fine Granular Scalability

Multi-layered coding of depth for virtual view synthesis

Multi-View Image Coding in 3-D Space Based on 3-D Reconstruction

Evaluation of 3DTV Service using Asymmetric View Coding Based on MPEG-2

Multi-View Video Plus Depth Representation and Coding

Human Perception of Asymmetrical 3-D Inputs