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Paper Detail

Paper IDARS-8.9
Paper Title A FAST SMART-CROPPING METHOD AND DATASET FOR VIDEO RETARGETING
Authors Konstantinos Apostolidis, Vasileios Mezaris, Information Technologies Institute, Centre for Research and Technology Hellas, Greece
SessionARS-8: Image and Video Mid-Level Analysis
LocationArea I
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Mid-Level Analysis
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In this paper a method that re-targets a video to a different aspect ratio using cropping is presented. We argue that cropping methods are more suitable for video aspect ratio transformation when the minimization of semantic distortions is a prerequisite. For our method, we utilize visual saliency to find the image regions of attention, and we employ a filtering-through-clustering technique to select the main region of focus. We additionally introduce the first publicly available benchmark dataset for video cropping, annotated by 6 human subjects. Experimental evaluation on the introduced dataset shows the competitiveness of our method.