2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

IVMSP-21: Image & Video Quality

Session Type: Poster
Time: Thursday, 10 June, 14:00 - 14:45
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: Chaker Larabi, Université de Poitiers
 
 IVMSP-21.1: JOINT LEARNING OF IMAGE AESTHETIC QUALITY ASSESSMENT AND SEMANTIC RECOGNITION BASED ON FEATURE ENHANCEMENT
         Xiangfei Liu; Shandong University
         Xiushan Nie; Shandong Jianzhu University
         Zhen Shen; Shandong University
         Yilong Yin; Shandong University
 
 IVMSP-21.2: NESTED ERROR MAP GENERATION NETWORK FOR NO-REFERENCE IMAGE QUALITY ASSESSMENT
         Junming Chen; Peking University
         Haiqiang Wang; Pengcheng lab
         Ge Li; Peking University
         Shan Liu; Tencent
 
 IVMSP-21.3: REGRESSION OR CLASSIFICATION? NEW METHODS TO EVALUATE NO-REFERENCE PICTURE AND VIDEO QUALITY MODELS
         Zhengzhong Tu; University of Texas at Austin
         Chia-Ju Chen; University of Texas at Austin
         Li-Heng Chen; University of Texas at Austin
         Yilin Wang; Google Inc.
         Neil Birkbeck; Google Inc.
         Balu Adsumilli; Google Inc.
         Alan Bovik; University of Texas at Austin
 
 IVMSP-21.4: BLIND IMAGE QUALITY EVALUATOR WITH SCALE ROBUSTNESS
         Ci Wang; East China Normal University
         Mei Li; East China Normal University
 
 IVMSP-21.5: MULTI-SCALE FEATURE-GUIDED STEREOSCOPIC VIDEO QUALITY ASSESSMENT BASED ON 3D CONVOLUTIONAL NEURAL NETWORK
         Yingjie Feng; Tianjin University
         Sumei Li; Tianjin University
         Yongli Chang; Tianjin University
 
 IVMSP-21.6: NO-REFERENCE STEREOSCOPIC IMAGE QUALITY ASSESSMENT BASED ON THE HUMAN VISUAL SYSTEM
         Fan Meng; Tianjin University
         Sumei Li; Tianjin University
         Yongli Chang; Tianjin University