基于特征区域分割的立体视频视觉舒适度评价方法

王小雨; 王世刚; 吕源治

光电子技术, 2014, 34 (2): 87, 网络出版: 2014-06-30

基于特征区域分割的立体视频视觉舒适度评价方法

Evaluation of Visual Comfort for Stereoscopic Video Based on Feature Region Segmentation

论文大纲

王小雨 ^*王世刚吕源治

作者单位

吉林大学通信工程学院, 长春 130012

区域分割视觉舒适度深度感知空间合并双目视差 region segmentation visual comfort depth perception spatial pooling disparity

摘要

为准确反映人眼在观看立体视频过程中的视觉舒适程度, 提出了一种基于特征区域分割的立体视频视觉舒适度评价方法。首先自适应地分割提取出立体视频序列中的人眼的感兴趣区域, 以及相邻帧间的运动区域, 然后结合深度感知理论和空间合并技术, 对视觉舒适度这一特征量进行建模, 最后实现对立体视频视觉舒适度的评定。实验结果表明, 使用本文的方法对立体视频视觉舒适度进行评价, 可以很好的模拟人眼直接观测的视觉感受, 对于视觉舒适度的研究具有重要的参考价值。

Abstract

First, adaptive segment and extraction of the interested area of human eye from the sequence of stereoscopic video is performed and the motion of adjacent frame view is captured. Then, depth perception is combined based on the theory with spatial pooling technology andthe characteristics of visual comfort is modeled. Finally, the assessment of stereoscopic video comfort is completed .It is experimentally shown that the method of assessing the stereoscopic video visual comfort can simulate the perception of human eye and it is an important reference to thethe study of visual comfort.

参考文献

[1] Donghyun Kim, Kwanghoon Sohn. Visual fatigue prediction for stereoscopic image［J］. Circuits and systems for Video Technology, IEEE Transaction on Feb, 2011:231-236.

[2] Marc Lambooij, Wijnand I Jsselsteijn. Stereoscopic displays and visual comfort: a review［J］. SPIE Newsroom, April 2007: DOI: 10.1117/2.1200702.0648

[3] Frank L. Kooi, Alexander Toet. Visual comfort of binocular and 3D displays［J］. Display, 2004,25(2-3):99-108.

[4] Ma M.Y, He X. L. Research on ROI extraction of color image［C］. Intelligent Control and Automation (WCICA), Jinan CN, 2010:724-728.

[5] Hosik Sohn, Yong Ju Jung. Attention model-based visual comfort assessment for stereoscopic depth perception［C］. Digital Signal Processing (DSP), Corfu GR, 2011:1-6.

[6] Zhou Wang, Xinli Shang. Spatial pooling strategies for perceptual image quality assessment［C］. Image Processing, Atlanta GA, 2006 IEEE International Conference, 2006:2945-2948.

[7] Harel J, Koch C, Perona P. Graph-based visual saliency［C］. Advances in Neural Information Processing Systems, Pasadena CA, 2007:545-552.

[8] 周茜.立体图像和体力视频中对象分割算法的研究［D］.吉林: 吉林大学出版社,2007.

[9] Donghyun Kim, Sunghwan Choi. Visual Comfort Enhancement for Stereoscopic Video Based on Binocular Fusion Characteristics［J］. Circuits and Systems for Video Technology, IEEE Transaction on March, 2013:482-487.

[10] Ye Bi, Jun Zhou. A visual comfort metric for stereoscopic 3D video based on SMDE approach［C］. Signal Processing, Communication and Computing (ICSPCC), Hong Kong, 2012 IEEE International Conference. 2012:72-77.

[11] ITU Recommendation BT.1438, Subjective assessment of stereoscopic television pictures［S］． 2000.

[12] Seuntiens P J H. Visual experience of 3D TV［D］, Eindhoven: Eindhoven University, 2006.

王小雨, 王世刚, 吕源治. 基于特征区域分割的立体视频视觉舒适度评价方法[J]. 光电子技术, 2014, 34(2): 87. WANG Xiaoyu, WANG Shigang, LV Yuanzhi. Evaluation of Visual Comfort for Stereoscopic Video Based on Feature Region Segmentation[J]. Optoelectronic Technology, 2014, 34(2): 87.

基于特征区域分割的立体视频视觉舒适度评价方法

关于本站 Cookie 的使用提示

全站搜索

基于特征区域分割的立体视频视觉舒适度评价方法

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索