Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39744
Title: Video texture synthesis
Authors: Khaneja, Rishi.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2010
Abstract: This project investigates Video Textures, a type of video-based rendering technique, where new videos are synthesized from short sample videos that exhibit certain similarity or repetition in time. These textures are seamless and can be of any arbitrary length, and therefore give the illusion of being natural. Video textures, due to their small space requirement and dynamic qualities, can replace both still-photos and videos, especially in certain applications like display of dynamic scenes on web pages. Here mainly one form of video texture as introduced by A. Schödl [1] is dealt with. The various algorithms for analysis of sample videos and generation of textures were experimented and refined. Different scenes were used as samples and some inferences were made on the techniques that gave acceptable results for these different scenes. Moreover, some new techniques were designed for better results with certain scenario or to lower computational cost.
URI: http://hdl.handle.net/10356/39744
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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