Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39959
Title: Determining motion saliency in videos
Authors: Tan, Angeline Chern Kai.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2010
Abstract: This Final Year Project describes an algorithm for obtaining and extracting information that attracts user attention in a video clip. The key factors that make a region attractive are the motion that happened in a video, the low-level features like image orientation and intensity and also the semantic influence in a video. The exploration of the project is supported by research and study on several related works. The function of analyzing the related work is to aid in the project planning cycle. With this workflow, it will be able to help in project designing and also prepare for project implementation. The purpose of this project is to create an algorithm that identifies the attention attracting regions and generate a skimmed version which refers to a concise representation of the original video clip. The region of attractions in a video clip in this project is identified by motion. The motion saliency information is generated based on motion vector information with spatial and temporal coherency. During the process, experimental results were obtained and evaluated to justify this accuracy. The final results of the skimmed video were produced and it showed excellent results.
URI: http://hdl.handle.net/10356/39959
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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