T1: Image/Video Analysis and Modeling II
Tue, 19 Mar, 09:00 - 10:15 MST (UTC -7)
Location: Lecture Room
Session Type: Lecture
Track: Image and video quality assessment
Tue, 19 Mar, 09:00 - 09:15 MST (UTC -7)

T1.1: A VISUAL QUALITY ASSESSMENT METHOD FOR RASTER IMAGES IN SCANNED DOCUMENT
Justin Yang, Purdue University, United States; Peter Bauer, Todd Harris, HP Inc., United States; Changhyung Lee, Hyeon Seok Seo, HP Printing Korea Co Ltd, Korea (South); Jan P. Allebach, Fengqing Zhu, Purdue University, United States
Tue, 19 Mar, 09:15 - 09:30 MST (UTC -7)

T1.2: FROM TOPOLOGICAL SIGNATURES TO TEXTURAL PATTERNS: ENHANCING THE PRECISION OF SAND CLASSIFICATION
Ankur Yadav, Ovidiu Daescu, Zachary Sickmann, The University of Texas at Dallas, United States
Tue, 19 Mar, 09:30 - 09:45 MST (UTC -7)

T1.3: IMPROVING AGE PREDICTION: UTILIZING LSTM-BASED DYNAMIC FORECASTING FOR DATA AUGMENTATION IN MULTIVARIATE TIME SERIES ANALYSIS
Yutong Gao, Charles Ellis, Vince Calhoun, Robyn Miller, Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, United States
Tue, 19 Mar, 09:45 - 10:00 MST (UTC -7)

T1.4: LOOK OUT FOR DANGEROUS SPIDERS: ARANEAE CLASSIFICATION USING DEEP LEARNING METHODS
Zi Deng, Jeffrey Rodriguez, University of Arizona, United States
Tue, 19 Mar, 10:00 - 10:15 MST (UTC -7)

T1.5: JOINT DEEP IMAGE RESTORATION AND UNSUPERVISED QUALITY ASSESSMENT
Hakan Emre Gedik, Abhinau Kumar Venkataramanan, Alan Conrad Bovik, The University of Texas at Austin, United States