Toward domain transfer for no-reference quality prediction of asymmetrically distorted stereoscopic images

• المؤلفون الرئيسيون: Shao, Feng, Zhang, Zhuqing, Jiang, Qiuping, Lin, Weisi, Jiang, Gangyi
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Category Consistent Term; Dictionary Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/142241

We have presented a no-reference quality prediction method for asymmetrically distorted stereoscopic images, which aims to transfer the information from source feature domain to its target quality domain using a label consistent K-singular value decomposition classification framework. To this end, w...