Technical Program

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SMR-1: Image and Video Quality Assessment

Interactive Q&A Time: Tuesday, September 21, 13:30 - 15:00
Session Chair: Chaker Larabi, Université de Poitiers
 
 SMR-1.1: TRANSFORMER FOR IMAGE QUALITY ASSESSMENT
         Junyong You; NORCE Norwegian Research Centre
         Jari Korhonen; Shenzhen University
 
 SMR-1.2: NATURAL SCENE STATISTICS AND CNN BASED PARALLEL NETWORK FOR IMAGE QUALITY ASSESSMENT
         Parima Jain; Indian Institute of Technology Jammu
         Gitam Shikkenawis; C R Rao Advanced Institute of Mathematics, Statistics and Computer Science
         Suman Mitra; Dhirubhai Ambani Institute of Information and Communication Technology
 
 SMR-1.3: CURIOUSLY EFFECTIVE FEATURES FOR IMAGE QUALITY PREDICTION
         Sören Becker; Fraunhofer Heinrich Hertz Institute
         Thomas Wiegand; Fraunhofer Heinrich Hertz Institute
         Sebastian Bosse; Fraunhofer Heinrich Hertz Institute
 
 SMR-1.4: QUALITY-OF-EXPERIENCE EVALUATION OF 8K ULTRA-HIGH-DEFINITION TELEVISION
         Yoshiaki Shishikui; Meiji University
 
 SMR-1.5: VIDEO QUALITY ASSESSMENT OF USER GENERATED CONTENT: A BENCHMARK STUDY AND A NEW MODEL
         Zhengzhong Tu; University of Texas at Austin
         Chia-Ju 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
 
 SMR-1.6: ATTENTION BASED NETWORK FOR NO-REFERENCE UGC VIDEO QUALITY ASSESSMENT
         Fuwang Yi; Shanghai Jiao Tong University
         Mianyi Chen; Tencent
         Wei Sun; Shanghai Jiao Tong University
         Xiongkuo Min; Shanghai Jiao Tong University
         Yuan Tian; Shanghai Jiao Tong University
         Guangtao Zhai; Shanghai Jiao Tong University
 
 SMR-1.7: A FOVEATED VIDEO QUALITY ASSESSMENT MODEL USING SPACE-VARIANT NATURAL SCENE STATISTICS
         Yize Jin; University of Texas at Austin
         Todd Goodall; Apple Inc.
         Anjul Patney; Facebook Technologies
         Richard Webb; Facebook Technologies
         Alan Bovik; University of Texas at Austin
 
 SMR-1.8: VIDEO QUALITY MEASUREMENT FOR BUFFERING TIME BASED ON EEG FREQUENCY FEATURE
         Zhe Li; Tsinghua University
         Bingrui Geng; Tsinghua University
         Xiaoming Tao; Tsinghua University
         Yiping Duan; Tsinghua University
         Dingcheng Gao; Tsinghua University
         Shuzhan Hu; Tsinghua University
 
 SMR-1.9: DEEP NEURAL NETWORKS FOR FULL-REFERENCE AND NO-REFERENCE AUDIO-VISUAL QUALITY ASSESSMENT
         Yuqin Cao; Shanghai Jiao Tong University
         Xiongkuo Min; Shanghai Jiao Tong University
         Wei Sun; Shanghai Jiao Tong University
         Guangtao Zhai; Shanghai Jiao Tong University
 
 SMR-1.10: A MULTI-TASK CONVOLUTIONAL NEURAL NETWORK FOR BLIND STEREOSCOPIC IMAGE QUALITY ASSESSMENT USING NATURALNESS ANALYSIS
         Salima Bourbia; LRIT, Mohammed V University
         Ayoub Karine; L@bISEN, Vision-AD Team, ISEN Yncrea
         Aladine Chetouani; Laboratoire PRISME, Université d’Orléans
         Mohammed El Hassouni; FLSH, Mohammed V University in Rabat
 
 SMR-1.11: PERCEPTUALLY-WEIGHTED CNN FOR 360-DEGREE IMAGE QUALITY ASSESSMENT USING VISUAL SCAN-PATH AND JND
         Abderrezzaq Sendjasni; Université de Poitiers
         Mohamed-Chaker Larabi; University of Poitiers
         Faouzi Alaya Cheikh; Norwegian University of Science and Technology
 
 SMR-1.12: TOWARDS A COLORED POINT CLOUD QUALITY ASSESSMENT METHOD USING COLORED TEXTURE AND CURVATURE PROJECTION
         Zhouyan He; Faculty of Information Science and Engineering, Ningbo University
         Gangyi Jiang; Faculty of Information Science and Engineering, Ningbo University
         Zhidi Jiang; Faculty of Information Science and Engineering, Ningbo University
         Mei Yu; Faculty of Information Science and Engineering, Ningbo University