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CONTENT BASED VIDEO RETRIEVAL SYSTEM

by Madhav Gitte, Harshal Bawaskar, Sourabh Sethi, Ajinkya Shinde
"... Video retrieval is a young field which has its genealogy rooted in artificial intelligence, digital signal processing, statistics, natural language understanding, databases, psychology, computer vision, and pattern recognition. However, none of these parental fields alone has been able to directly s ..."
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solve the retrieval problem. In this paper we present a System that supports video mining from multimedia warehouse using multimodal feature has two stages, the first one is building the multimedia warehouse and the second one is retrieving the video from that multimedia warehouse. The Video Retrieval

Performance Analysis of Using Wavelet Transform in Content Based Video Retrieval System

by unknown authors
"... Abstract:- Multimedia Retrieval is one of the most important and fastest growing research areas in the field of multimedia technology. Large collections of scientific, artistic and commercial data comprising image, text, audio and video abound in the present information based society. There must be ..."
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be an effective and precise method of assisting users to search, browse and interact with these collections. This paper has proposed and implemented a content based video retrieval system using Haar wavelet, Daubechies D4 wavelet transform and five different types of clustering techniques. The experimental

TOWARDS A CONTENT-BASED VIDEO RETRIEVAL SYSTEM USING WAVELET-BASED SIGNATURES

by Oscar D. Robles, U. Rey, Juan Carlos, C. Tulipán, Angel Rodríguez
"... This paper presents two new primitives for representing the content of a video in order to be used in a Content-Based Video Retrieval System. The techniques presented here compute first a multiresolution representation using the Haar transform. Two types of signatures are extracted afterwards, one b ..."
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This paper presents two new primitives for representing the content of a video in order to be used in a Content-Based Video Retrieval System. The techniques presented here compute first a multiresolution representation using the Haar transform. Two types of signatures are extracted afterwards, one

Cobra: A Content-Based Video Retrieval System Milan Petkovid and Willem Jonker

by Computer Science Department, Milan Petkovid, Willem Jonker
"... this paper, we present a content-based video retrieval system called Cobra. The system supports automatic extraction and retrieval of high-level concepts (such as video objects and events) from raw video data. It benefits from using domain knowledge, but at the same time, provides a general framewor ..."
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this paper, we present a content-based video retrieval system called Cobra. The system supports automatic extraction and retrieval of high-level concepts (such as video objects and events) from raw video data. It benefits from using domain knowledge, but at the same time, provides a general

Content based Video Retrieval Systems- Methods, Techniques, Trends and Challenges

by Aasif Ansari, Muzammil H Mohammed
"... Content Based Video Retrieval (CBVR) has been increasingly used to describe the process of retrieving desired videos from a large collection on the basis of features that are extracted from the videos. The extracted features are used to index, classify and retrieve desired and relevant videos while ..."
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Content Based Video Retrieval (CBVR) has been increasingly used to describe the process of retrieving desired videos from a large collection on the basis of features that are extracted from the videos. The extracted features are used to index, classify and retrieve desired and relevant videos while

Application of Semi-structured Data Model to the Implementation of Semantic Content Based Video Retrieval System

by Lilac A. E. Al-safadi, Janusz R. Getta - Mobile Ubiquitous Computing, Systems, Services and Technologies, 2007. Proc. Of UBICOMM '07. International Conference on 4-9 Nov. 2007
"... Abstract — Semantic indexing of a video document is a process that performs the identification of elementary and complex semantic units in the indexed document in order to create a semantic index defined as a mapping of semantic units into the sequences of video frames. Semantic content-based video ..."
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retrieval system is a software system that uses a semantic index built over a collection of video documents to retrieve the sequences of video frames that satisfy the given conditions. This work introduces a new multilevel view of data for the semantic content-based video retrieval systems. At the topmost

Content-based Video Retrieval: An overview

by Stéphane Marchand-Maillet , 2000
"... Content-based Image Retrieval systems (CBIRS) start ourishing on the Web. Their performances are continuously improving and their base principles span a wide range of diversity. Content-based Video Retrieval systems (CBVRS) are less common and seem at a first glance to be a natural extension of CBIR ..."
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Content-based Image Retrieval systems (CBIRS) start ourishing on the Web. Their performances are continuously improving and their base principles span a wide range of diversity. Content-based Video Retrieval systems (CBVRS) are less common and seem at a first glance to be a natural extension

Content-Based Video Retrieval through Wavelets and Clustering

by Cesar Castelo Fernández
"... In this paper it is described all of the necessary concepts for the implementation of a Content-Based Video Retrieval System (CBVR), showing the main techniques used in this task, and the application of some new ones for the video analysis. The techniques are Gabor Wavelets, Fuzzy c-means Clustering ..."
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In this paper it is described all of the necessary concepts for the implementation of a Content-Based Video Retrieval System (CBVR), showing the main techniques used in this task, and the application of some new ones for the video analysis. The techniques are Gabor Wavelets, Fuzzy c

SOURCE ADAPTATION FOR IMPROVED CONTENT-BASED VIDEO RETRIEVAL

by unknown authors
"... Adaptation of hidden Markov model (HMM) parameters to individual speakers is known to provide considerable improvements over speaker-independent speech recognition systems. This paper applies this idea of model adaptation to a content-based video retrieval system that uses HMMs, with different sourc ..."
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Adaptation of hidden Markov model (HMM) parameters to individual speakers is known to provide considerable improvements over speaker-independent speech recognition systems. This paper applies this idea of model adaptation to a content-based video retrieval system that uses HMMs, with different

Content-based image retrieval at the end of the early years

by Arnold W. M. Smeulders, Marcel Worring, Simone Santini, Amarnath Gupta, Ramesh Jain - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2000
"... The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps for imag ..."
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The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps
Results 1 - 10 of 8,040