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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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ACTIVE LEARNING METHODS FOR INTERACTIVE IMAGE RETRIEVAL - IMAGE PROCESSING

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensions are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification framework is presented with experiments to compare several powerful cla ....etc

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i want a code to three algorithms in this topic.please immediately..send to me.. ....etc

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dfd for user oriented image retrievel system based on genetic algorithm. ....etc

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Information Retrieval Knowledge Management System

ABSTRACT

This project will be designed and developed for university of Ballarath about FAQâ„¢s posted to various departments. The University examination branch wants to maintain all the frequently asked questions in the database subject wise, to avail them to all the students. And they will update the questions as and when required. The primary goal of Information Retrieval & Knowledg ....etc

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A SIGNATURE BASED INDEXING METHOD FOR EFFICIENT CONTENT BASED RETRIEVAL OF RELATIVE TEMPORAL PATTERNS

Abstract: Project aims for efficient content based retrieval process of relative temporal pattern using signature based indexing method. Rule discovery algorithms in data mining generate a large number of patterns/rules, sometimes even exceeding the size of the underlying database, with only a small fraction being of interest to the user. It is generally understood that interpreting the discovered patterns/rules to gain insight into the doma ....etc

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Networked computer systems are rapidly growing in importance as the medium of choice for the storage and exchange of information. However, current systems afford little privacy to their users, and typically store any given data item in only one or a few fixed places, creating a central point of failure. Because of a continued desire among individuals to protect the privacy of their authorship or readership of various types of sensitive information, and the undesirability of central points of failure which can be attacked by opponents wishing t ....etc

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pFusion: A P2P Architecture for Internet-Scale Content-Based Search and Retrieval

Abstract”The emerging Peer-to-Peer (P2P) model has become a very powerful and attractive paradigm for developing Internet-scale systems for sharing resources, including files and documents. The distributed nature of these systems, where nodes are typically located across different networks and domains, inherently hinders the efficient retrieval of information. In this paper, we consider the effects of topologically aware overlay construction techniques o ....etc

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Introduction:

Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyzes offered by data mining move beyond the analyses of past events provided by ....etc

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