Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46304
Title: Models for visual saliency in images and videos
Authors: Viswanath Gopalakrishnan
Keywords: DRNTU::Engineering::Mathematics and analysis::Simulations
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2010
Source: Viswanath, G. (2010). Models for visual saliency in images and videos. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Multimedia data consisting of videos and images are in general very rich in content and carry lot of information. With the digital cameras and camcorders becoming easily available to consumers, the amount of information in the form of multimedia data stored and shared across web has increased exponentially. Human beings are normally interested only in a ’subset’ of this information available in images and videos, which they consider as salient. Given the huge amount of data to be processed, it is important to obtain information regarding the regions in an image or video which attract human attention so that the overhead of redundant data can be greatly reduced in multimedia applications. The detection of such salient regions or objects in images and videos is the objective of the proposed research work.
URI: https://hdl.handle.net/10356/46304
DOI: 10.32657/10356/46304
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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