Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/62334
Title: Algorithms for saliency detection in videos
Authors: Karthik Muthuswamy
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Issue Date: 2014
Abstract: The exponential increase in devices capable of producing and consuming multimedia, combined with the amount of data that is shared on the Internet, has made it imperative for storage, management and retrieval of such media to be extremely efficient. Content understanding of visual media, however, poses a significant challenge owing to the high dimensionality of the features extracted from visual media. But, this could be greatly improved if we concentrated on only the most important regions of the visual media, analogous to how the human vision system processes images and videos by focussing only on certain regions, disregarding the rest of the scene. Such a process of focussing only on certain areas is termed as selective attention and these areas are salient regions. The detection and analysis of salient regions or objects in videos is the primary objective of the proposed research work in this thesis.
URI: http://hdl.handle.net/10356/62334
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
PhD Thesis - Karthik Muthuswamy - G0901270C.pdf
  Restricted Access
Main thesis4.26 MBAdobe PDFView/Open

Page view(s) 5

179
checked on Oct 27, 2020

Download(s) 5

11
checked on Oct 27, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.