OTC (Open Tourism Consortium) is a consortium of companies, government agencies, individuals, and universities participating in the open development of publicly available standards to support tourism. The goals of the...
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In this paper we propose a methodology to accommodate XML Update without violating the original document’s constraints. The method takes form as a set of functions that perform checking mechanism before updates. The ...
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This Paper introduces PKUSpace - a collaborative platform for scientific learning and researching. Supported by efficient automated metadata extraction and powerful text classification modules, PKUSpace provides users...
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In this paper, we explore the domain of American Football TV broadcasting with respect to interesting event detection. Most of the existing methods achieve the goal of event detection in sports video using some type o...
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With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastically increased. To address such a deman...
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ISBN:
(纸本)1581139756
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastically increased. To address such a demand, a unified framework called Markov Model Mediators (MMMs) is proposed in this paper to facilitate conceptual database clustering and to improve the query processing performance by analyzing the summarized knowledge. The unique characteristics of MMMs are that it provides the capabilities of exploring the affinity relations among the images at the database level and among the databases at the cluster level respectively, using an effective data mining process. At the database level, each database is modeled by an intra-database MMM which enables accurate image retrieval within the database. Then the conceptual database clustering is performed and cluster-level knowledge summarization is conducted to reduce the cost of retrieving images across the databases. This framework has been tested using a set of image databases, which contain various numbers of images with different dimensions and concept categories. The experimental results demonstrate that our framework achieves better retrieval accuracy via inter-cluster retrieval than that of intra-cluster retrieval with minimal extra effort. Copyright 2004 ACM.
In this paper, we propose a new multimedia data mining framework for the extraction of soccer goal events in soccer videos by using combined multimodal analysis and decision tree logic. The extracted events can be use...
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ISBN:
(纸本)0780386035
In this paper, we propose a new multimedia data mining framework for the extraction of soccer goal events in soccer videos by using combined multimodal analysis and decision tree logic. The extracted events can be used to index the soccer videos. We first adopt an advanced video shot detection method to produce shot boundaries and some important visual features. Then the visual/audio features are extracted for each shot at different granularities. This rich multi-modal feature set is filtered by a pre-filtering step to clean the noise as well as to reduce the irrelevant data. A decision tree model is built upon the cleaned data set and is used to classify the goal shots. Finally, the experimental results demonstrate the effectiveness of our framework for soccer goal extraction.
We demonstrate a precise measurement of Rayleigh coefficient and its application for the complete experimental characterization of different noise components in the Raman amplifier under single experimental set-up, ut...
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ISBN:
(纸本)1557527725
We demonstrate a precise measurement of Rayleigh coefficient and its application for the complete experimental characterization of different noise components in the Raman amplifier under single experimental set-up, utilizing higher order Rayleigh scattering / signal trace measurement from the modified, high dynamic range OTDR.
A secure and practical CRT-based RSA signature scheme is proposed against side channel attacks, including power analysis attack, timing attack, and fault analysis attack. The performance advantage obtained over other ...
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In this paper we propose the usage of W3C-standardized query language, XQuery, to accommodate XML Update. Our main aim is to enable the update without violating the semantic constraint of the documents. The focus of t...
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The architecture of control system for mobile robots is proposed in this paper. This architecture is based on hybrid approach using neural networks for classification of images and organization of associative memory a...
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