NDLI: Low Complexity Video Encoding with One-Bit Transform based Network-Driven Motion Estimation

Content Provider	IEEE Xplore Digital Library
Author	Hwa-Yong Oh Erturk, S. Tae-Gyu Chang
Copyright Year	1975
Abstract	Low complexity video encoding is desired in many applications requiring real-time encoding of video, particularly for mobile equipment. In order to reduce encoding complexity without much sacrifice in visual quality, some of the complexity can typically be shifted to the decoder, or the network infrastructure can take part in the process by performing some encoding and/or decoding tasks. In this paper a new hybrid video coding scheme is proposed that utilizes the standard motion compensated predictive coding architecture and uses one-bit transform (IBT) representations of video frames to facilitate remote motion estimation. The one-bit transform of each video frame is computed at the encoder using low complexity operations and sent to the decoder or network infrastructure, after entropy encoding, for motion estimation. After motion estimation is carried out remotely, the motion vectors are sent back to the encoder for motion compensated predictive coding. In order to reduce the overhead introduced by one-bit transforms, differential encoding of lBTs is also investigated. The proposed approach can provide low complexity motion compensated predictive video encoding by shifting the high computational load of motion estimation to the decoder or network infrastructure.
Sponsorship	IEEE Consumer Electronics Society
File Size	366400
File Format	PDF
ISSN	00983063
Volume Number	53
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encoding Motion estimation Decoding Video coding Predictive coding Computer networks Wireless communication Cameras Electronic mail Computer architecture
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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

Efficient video coding integrating MPEG-2 and picture-rate conversion

On low-complexity video encoding through feedback

Constrained One-Bit Transform for Low Complexity Block Motion Estimation

Motion estimation computational complexity reduction with CNN shape segmentation

Flexible Complexity Control Solution for Transform Domain Wyner-Ziv Video Coding

Multi-View Distributed Video Coding with Low-Complexity Inter-Sensor Communication Over Wireless Video Sensor Networks

View-Adaptive Motion Estimation and Disparity Estimation for Low Complexity Multiview Video Coding

Efficient coding and mapping algorithms for software-only real-time video coding at low bit rates

An all binary sub-pixel motion estimation approach and its hardware architecture

Low Complexity Video Encoding with One-Bit Transform based Network-Driven Motion Estimation

Similar Documents

Efficient video coding integrating MPEG-2 and picture-rate conversion

On low-complexity video encoding through feedback

Constrained One-Bit Transform for Low Complexity Block Motion Estimation

Motion estimation computational complexity reduction with CNN shape segmentation

Flexible Complexity Control Solution for Transform Domain Wyner-Ziv Video Coding

Multi-View Distributed Video Coding with Low-Complexity Inter-Sensor Communication Over Wireless Video Sensor Networks

View-Adaptive Motion Estimation and Disparity Estimation for Low Complexity Multiview Video Coding

Efficient coding and mapping algorithms for software-only real-time video coding at low bit rates

An all binary sub-pixel motion estimation approach and its hardware architecture

Low Complexity Video Encoding with One-Bit Transform based Network-Driven Motion Estimation