SMR-05: Perception and Quality Models for Images & Video |
Interactive Q&A Time: Tuesday, 27 October, 17:30 - 18:25 |
Virtual Session: View on Virtual Platform |
Session Chairs: Chaker Larabi, Université de Poitiers and Giuseppe Valenzise, CNRS |
SMR-05.1: AUTOMATIC REGION SELECTION FOR OBJECTIVE SHARPNESS ASSESSMENT OF MOBILE DEVICE PHOTOS |
Qiang Lu; Shanghai Jiao Tong University |
Guangtao Zhai; Shanghai Jiao Tong University |
Wenhan Zhu; Shanghai Jiao Tong University |
Yucheng Zhu; Shanghai Jiao Tong University |
Xiongkuo Min; Shanghai Jiao Tong University |
Xiaoping Zhang; Ryerson University |
Hua Yang; Shanghai Jiao Tong University |
SMR-05.2: LEARNING TO BLINDLY ASSESS IMAGE QUALITY IN THE LABORATORY AND WILD |
Weixia Zhang; Shanghai Jiao Tong University |
Kede Ma; City University of Hong Kong |
Guangtao Zhai; Shanghai Jiao Tong University |
Xiaokang Yang; Shanghai Jiao Tong University |
SMR-05.3: CUID: A NEW STUDY OF PERCEIVED IMAGE QUALITY AND ITS SUBJECTIVE ASSESSMENT |
Lucie Lévêque; Gustave Eiffel University |
Ji Yang; Cardiff University |
Xiaohan Yang; Xi'an Jiaotong University |
Pengfei Guo; Zhongkai University of Agriculture and Engineering |
Kenneth Dasalla; University of Bath |
Leida Li; Xidian University |
Yingying Wu; Cardiff University |
Hantao Liu; Cardiff University |
SMR-05.4: PERCEPTNET: A HUMAN VISUAL SYSTEM INSPIRED NEURAL NETWORK FOR ESTIMATING PERCEPTUAL DISTANCE |
Alexander Hepburn; University of Bristol |
Valero Laparra; Universitat de Valencia |
Jesús Malo; Universitat de Valencia |
Ryan McConville; University of Bristol |
Raul Santos-Rodriguez; University of Bristol |
SMR-05.5: NOR-VDPNET: A NO-REFERENCE HIGH DYNAMIC RANGE QUALITY METRIC TRAINED ON HDR-VDP 2 |
Francesco Banterle; CNR |
Alessandro Artusi; RISE Ltd. |
Alejandro Moreo; CNR |
Fabio Carrara; CNR |
SMR-05.6: SUBJECTIVE QUALITY ASSESSMENT FOR YOUTUBE UGC DATASET |
Joong Gon Yim; Google |
Yilin Wang; Google |
Neil Birkbeck; Google |
Balu Adsumilli; Google |
SMR-05.7: EEG-BASED ASSESSMENT OF PERCEIVED QUALITY IN COMPLEX NATURAL IMAGES |
Tamer Ajaj; Fraunhofer Heinrich Hertz Institute (HHI) |
Klaus-Robert Müller; TU Berlin |
Gabriel Curio; Charité |
Thomas Wiegand; Fraunhofer Heinrich Hertz Institute (HHI) |
Sebastian Bosse; Fraunhofer Heinrich Hertz Institute (HHI) |
SMR-05.8: A COMPARATIVE EVALUATION OF TEMPORAL POOLING METHODS FOR BLIND VIDEO QUALITY ASSESSMENT |
Zhengzhong Tu; University of Texas at Austin |
Chia-Ju Chen; University of Texas at Austin |
Li-Heng Chen; University of Texas at Austin |
Neil Birkbeck; Google |
Balu Adsumilli; Google |
Alan Bovik; University of Texas at Austin |
SMR-05.9: PREDICTION OF CHROMATIC VISUAL MASKING WITH DEEP LEARNING |
Aladine Chetouani; PRISME, University of Orleans |
Marius Pedersen; Norwegian University of Science and Technology (NTNU) |
Steven Le Moan; Department of Mechanical and Electrical Engineering, Massey University |
SMR-05.10: GRADUAL CHROMA REDUCTION AND HIGH-LEVEL VISUAL MASKING IN VIDEOS |
Jim Harvey; Massey University |
Steven Le Moan; Massey University |
SMR-05.11: DEEP LEARNING VS. TRADITIONAL ALGORITHMS FOR SALIENCY PREDICTION OF DISTORTED IMAGES |
Xin Zhao; Cardiff University |
Hanhe Lin; University of Konstanz |
Pengfei Guo; Zhongkai University of Agriculture and Engineering |
Dietmar Saupe; University of Konstanz |
Hantao Liu; Cardiff University |
SMR-05.12: PERCEPTUAL COLOUR DIFFERENCE UNIFORMITY IN HIGH DYNAMIC RANGE AND WIDE COLOUR GAMUT |
Thilan Costa; University of Waterloo |
Vincent Gaudet; University of Waterloo |
Edward R. Vrscay; University of Waterloo |
Zhou Wang; University of Waterloo |
SMR-05.13: HIGH-LEVEL VISUAL MASKING OF IMAGE COMPRESSION ARTEFACTS |
Steven Le Moan; Massey University |
Marius Pedersen; Norwegian University of Science and Technology (NTNU) |
Aladine Chetouani; University of Orleans |
SMR-05.14: COMBINATION OF HANDCRAFTED AND DEEP LEARNING-BASED FEATURES FOR 3D MESH QUALITY ASSESSMENT |
Ilyass Abouelaziz; Computer Science & Telecommunications Laboratory Research (LRIT) Mohammed V University |
Aladine Chetouani; PRISME, unversity of Orleans |
Mohamed El Hassouni; Computer Science & Telecommunications Laboratory Research (LRIT) Mohammed V University |
Longin Jan Latecki; Temple University |
Hocine Cherifi; University of Burgundy |
SMR-05.15: RESIDUAL NETWORKS BASED DISTORTION CLASSIFICATION AND RANKING FOR LAPAROSCOPIC IMAGE QUALITY ASSESSMENT |
Zohaib Amjad Khan; Université Sorbonne Paris Nord |
Azeddine Beghdadi; Université Sorbonne Paris Nord |
Mounir Kaaniche; Université Sorbonne Paris Nord |
Faouzi Alaya Cheikh; Norwegian University of Science and Technology (NTNU) |
SMR-05.16: NO-REFERENCE VIDEO QUALITY ASSESSMENT BASED ON SIMILARITY MAP ESTIMATION |
Wei Wu; Wuhan University |
Zizheng Liu; Wuhan University |
Zhenzhong Chen; Wuhan University |
Shan Liu; Tencent |
SMR-05.17: PERCEPTUAL QUALITY ASSESSMENT ON DIBR SYNTHESIZED VIDEOS WITH COMPOSITE DISTORTIONS |
Xiaochuan Wang; State Grid Information&Telecommunication Group |
Kai Wang; Beihang University |
Bailin Yang; Zhejiang Gongshang University |
Frederick W.B Li; University of Durham |
Xiaohui Liang; Beihang University |
SMR-05.18: BLIND NATURAL IMAGE QUALITY PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS AND WEIGHTED SPATIAL POOLING |
Yicheng Su; Shenzhen University |
Jari Korhonen; Shenzhen University |