The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. This makes it easier for machines to automatically process and integrate information. XML's ability to define customized tags and RDF's flexible approach to represent data could be exploited to build Semantic Web. RDF (Resource Description Framework) is used to represent information and to exchange knowledge in the Web. In extension to this several standard Ontolog ....etc

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abstract:
A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video

Sports video annotation is important for sports video semantic analysis such as event detection and personalization. We propose a novel approach for sports video semantic annotation and personalized retrieval. Different from the state of the art sports video analysis methods which heavily rely on audio/visual features, the proposed approach incorporates web-casting text into sports video analysis.

Compared with previous approaches, the contri ....etc

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PRESENTED BY:
T.Youva Vyshnavi.


Web Mining
Web Mining is the application of data mining techniques to discover patterns from the web.
Introduction
• There are many web search engines exit.
• Which are irrelevant to browser.
• Personalized web search takes key words from user as expression set .
• And deliver results from personalized indexing server of their community/ organization to determine the relevance of pages.
Objective
Improves effectiveness of information retrieval ....etc

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Introduction

-DUE to the rapidly growing amount of digital image data on the Internet and in digital libraries, there is a great need for large image database management and effective image retrieval tools.
-Content-based image retrieval (CBIR) is the set of tech­niques for searching for similar images from an image database using automatically extracted image features.
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Abstract”A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as
classification problems where each class is defined as the group of database images labeled with a common semantic label. It is
shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of
error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not
require prior ....etc

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Automatic Semantic Annotation of Real-World Web Images
A Seminar Report
by
Sarath S Nair
M105114
Department of Computer Science & Engineering
College of Engineering Trivandrum
Kerala - 695016
2010-11


Abstract
As the number of Web images is increasing at a rapid rate, searching them semantically
presents a significant challenge. Many raw images are constantly uploaded with few meaningful
direct annotations of semantic content, limiting their search and discovery. In this pap ....etc

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The right shoe is very important to play correctly for any sport. Shoes prerequisite for any sport. To the right pair of shoes for a specific sport. Depending on your choice of sports to choose shoes. Now there are so many brand shoes on the market. It is confusing to decide what is best for us. The understanding of the shoes is very important before buying, because the sports shoes are very expensive. The right shoe can also give you the desired foot care.

Choosing the right sport shoes

If you buy a better footballer shoes that provid ....etc

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please send me the ppt of the above mentioned topic ....etc

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1 Abstract
Most approaches to the semantic analysis of sports videos involve the use of auxiliary cues to detect
events. Detecting events of semantic importance based on video alone is a di_cult task.
In this project, we attempt to semantically characterize a cricket broadcast video based on video
alone. Initially, we perform shot boundary detection and shot classi_cation based on multi-scale
spatio temporal analysis of colour and optical ow features. This allows the representation of ev-
ery frame by a feature vector over whic ....etc

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Memory Learning Framework for Effective Image Retrieval on Medical images
IEEE Transactions on Image Processing, Vol. 14, No. 4, April 2005
Language: Java

Abstract:
Most current content-based image retrieval systems are still incapable of providing users with their desired results. The major difficulty lies in the gap between low-level image features and high-level image semantics. To address the problem, this study reports a framework for effective image retrieval by employing a novel idea of memory learning. It forms a knowledg ....etc

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