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20170222-03 吴金建:基于视皮层方位选择特性的模版提取及其在质量评价中的应用 ... .. ...

2017-2-20 15:29| 发布者: 程一-计算所| 查看: 5400| 评论: 0

摘要: 报告嘉宾2:吴金建(西安电子科技大学)报告时间:2017年2月22日(星期三)晚21:00(北京时间)报告题目:基于视皮层方位选择特性的模版提取及其在质量评价中的应用主持人: 董伟生(西安电子科技大学)报告摘要:Th ...




主持人:  董伟生(西安电子科技大学)


The human visual system is highly adaptive to extract structure information for scene perception, and structure character is widely used in perception-oriented image processing works. However, the existing structure descriptors mainly describe the luminance contrast of a local region, but cannot effectively represent the spatial correlation of structure. In this paper, we introduce a novel structure descriptor. Inspired by the orientation selectivity mechanism in the primary visual cortex, we compute the correlations among pixels in a local region to introduce a novel orientation selectivity based pattern. Then, taking both the gradient magnitude and the orientation selectivity based pattern into account, a rotation invariant structure descriptor is introduced. The proposed structure descriptor is applied in texture classification and reduced reference image quality assessment to demonstrate its effectiveness.


[1] Jinjian Wu, et al., "Orientation Selectivity based Visual Pattern for Reduced-Reference Image Quality Assessment", Information Science, vol.351, pp.18-29, July 2016. (Source code is available at

[2] Jinjian Wu, , et al., "Visual Orientation Selectivity based Structure Description", IEEE TIP, Vol. 24, No. 11, PP. 4602-4613, Nov. 2015.

[3] Jinjian Wu, et al., “Reduced-Reference Image Quality Assessment with Orientation Selectivity based Visual Pattern”, IEEE ChinaSIP 2015, Chengdu, Sichuan..


吴金建,男,现为西安电子科技大学副教授,陕西省科协首届(2015)“青年人才托举计划”入选者。吴金建分别于2008年6月、2014年6月获得西安电子科技大学学士、博士学位。2011年9月至2014年8月,赴新加坡南洋理工大学从事助理研究员、博士后研究员工作。吴金建长期从事视觉主观感知建模、视觉分辨能力估计、图像客观质量评价等方面的理论和应用研究。已发表相关学术论文30余篇,获IEEE电路与系统旗舰会议ISCAS2013“最佳学生论文奖”。担任了IEEE TIP、IEEE TMM、IEEE TCSVT等十余个国际著名期刊的审稿专家,担任了IEEE ICME、IEEE ChinaSIP、PCM等二十余个国际学术会议分会主席、程序委员会委员或审稿专家。





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