NDLI: A perceptual preprocessor to segment video for motion estimation

Content Provider	IEEE Xplore Digital Library
Author	Chiu, Y.-J.
Copyright Year	1998
Description	Author affiliation: Lucent Technol., AT&T Bell Labs., Holmdel, NJ, USA (Chiu, Y.-J.)
Abstract	Summary form only given. The objective of motion estimation and motion compensation is to reduce the temporal redundancy between adjacent pictures in a video sequence. Motion estimation is usually performed by calculating an error metric, such as mean absolute error (MAE), for each block in the current frame over a displaced region in the previously reconstructed frame. The motion vector is attained as the displacement having the minimum error metric. Although this achieves minimum-MAE in the residual block, it does not necessarily result in the best perceptual quality since the MAE is not always a good indicator of video quality. In low bit rate video coding, the overhead in sending the motion vectors becomes a significant proportion of the total data rate. The minimum-MAE motion vector may not achieve the minimum joint entropy for coding the residual block and motion vector, and thus may not achieve the best compression efficiency. In this paper, we attack these problems by introducing a perceptual preprocessor which takes advantage of the insensitivity of the human visual system (HVS) to mild changes in pixel intensity in order to segment the video into regions according to the perceptibility of the picture changes. Our preprocessor can exploit the local psycho-perceptual properties of the HVS because it is designed to segment video in the spatio-temporal pixel domain. The associated computational complexity for the segmentation in the spatio-temporal pixel domain is very small. With the information of segmentation, we then determine which macroblocks require motion estimation.
File Size	38340
File Format	PDF
ISBN	0818684062
ISSN	10680314
DOI	10.1109/DCC.1998.672255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Video compression Motion compensation Redundancy Video sequences Bit rate Video coding Entropy Humans Visual system
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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