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Human Action Categorization using Spatiotemporal Features
, M.Sc. Thesis Sharif University of Technology ; Kasaei, Shohre (Supervisor)
Abstract
Recognizing human actions is an important and challenging topic in computer vision, which has important applications such as video surveillance and Indexing. From a computational perspective, actions can be defined as three-dimensional patterns, in space and in time which can be modeled using several representations. Action representations differ in visual information used in spatial dimensions (e.g., shape or appearance) and the representation of dynamics in time. The goal of this thesis is to develop new techniques and improve current results in action categorization. As such, using a general structure, three methods are proposed. In this structure, local spatio-temporal features are...
A novel algorithm for using GA in concept weighting for text mining
, Article WSEAS Transactions on Computers ; Volume 5, Issue 12 , 2006 , Pages 2992-2999 ; 11092750 (ISSN) ; Akhgar, B ; Siddiqi, J. I ; Zaefarian, G ; Gruzdz, A ; Ihnatowicz, A ; Sharif University of Technology
2006
Abstract
The importance of good weighting methodology in information retrieval methods - the method that affects the most useful features of a document or query representative - is examined.. Weighting features is the thing that many information retrieval systems are regarding as being of minor importance as compared to find the feature and the experiments are confirming this. There are different methods for the term weighting such as TF*IDF and Information Gain Ratio which have been used in information retrieval systems, the paper provides a brief review of the related literature. This paper explores using GA for concept weighting which is a novel application to the field of text mining It proposes...
The effect of a two steps searching mechanism Using Feature Vectors Related to Image Class in Improving the Performance of CBIR System
,
M.Sc. Thesis
Sharif University of Technology
;
Jamzad, Mansoor
(Supervisor)
;
Manzuri Shalmani, Mohammad Taghi
(Co-Advisor)
Abstract
Nowadays, retrieval is an inseparable part of user activities and due to growing usage of Content-Based Image Retrieval (CBIR), it has become a hot and challenging research topic specially in the past decade. The most important challenge that retrieval systems (including CBIR systems) are facing is the semantic gap between abstractions in the user’s mind and what is searched. One of the ways of dealing with this challenge is getting more information from the user about what he needs and so decreasing the distance between user’s will and what he gives to search engine as the description of his need. In this research, the class of query image is supposed to be given. For using this...