Research of ROI image compression based on visual attention model

Qing-hua Chen; Xiao-fang Xie; Jian Cao; Xin-Chen Cui

doi:10.1117/12.867516

20 August 2010 Research of ROI image compression based on visual attention model

Qing-hua Chen, Xiao-fang Xie, Jian Cao, Xin-Chen Cui

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78202W (2010) https://doi.org/10.1117/12.867516
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

Region of interest (ROI) coding is important in applications where certain parts of an image are of a higher importance than the rest of the image. Human vision system actively seeks interesting regions in images to reduce the search export in tasks, such as object detection and recognition. Similarly, prominent actions in video sequences are more likely to attract human's first sight than their surrounding neighbors. Based on the mechanism of HVS, this paper proposes a model of the focus of attention for detecting the attended regions in video sequences. It uses the similarity between the adjacent frames, establishes the gray histogram, selects the maximum similarity as predicable model, and gets position of the focus of attention in the next fame. And on the application of an algorithm for visual attention the paper shows the region of interest (ROI) coding in JPEG 2000. JPEG 2000 ROI coding is used in combination with an algorithm for VA to provide a progressive bit-stream where the regions highlighted by the VA algorithm are coded as an ROI and presented first in the bit-stream. It can be seen that there is an improvement in image quality centered on the ROI although this is achieved at the expense of reduced quality in the background of the image.

Citation Download Citation

Qing-hua Chen, Xiao-fang Xie, Jian Cao, and Xin-Chen Cui "Research of ROI image compression based on visual attention model", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202W (20 August 2010); https://doi.org/10.1117/12.867516

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Visualization

Image quality

Image compression

Visual process modeling

JPEG2000

Infrared imaging

Infrared radiation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years