Paper ID | ARS-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 | ||
Session | ARS-8: Image and Video Mid-Level Analysis | ||
Location | Area 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. |