22 Result(s)
within
Conference Paper
Liang-Tien Chia
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Chapter and Conference Paper
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
Due to the dynamic nature of online information, XML documents typically evolve over time. The change of the data values or structures of an XML document may exhibit some particular patterns. In this paper, we...
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Chapter and Conference Paper
Ontology for Nature-Scene Image Retrieval
This paper presents a framework for building an ontology to provide semantic interpretations in image contents. The novelty of this framework comes from building a MPEG-7 ontology for semantic representations ...
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Chapter and Conference Paper
Mining Association Rules from Structural Deltas of Historical XML Documents
Previous work on XML association rule mining focuses on mining from the data existing in XML documents at a certain time point. However, due to the dynamic nature of online information, an XML document typical...
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Chapter and Conference Paper
Mining Positive and Negative Association Rules from XML Query Patterns for Caching
Recently, several approaches that mine frequent XML query patterns and cache their results have been proposed to improve query response time. However, frequent XML query patterns mined by these approaches igno...
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Chapter and Conference Paper
Region-Based Image Retrieval with Scale and Orientation Invariant Features
In this paper, we address the problem of image retrieval when the query is in the form of scaled and rotated regions of images in the database. The solution lies in identifying points that are invariant to sca...
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Chapter and Conference Paper
JPEG2000 Image Adaptation for MPEG-21 Digital Items
MPEG-21 user cases bring out a scenario of Universal Multimedia Access which is becoming the reality: people use different devices such as desktop PC, personal digital assistant as well as smartphone to access...
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Chapter and Conference Paper
Semantic Video Indexing and Summarization Using Subtitles
How to build semantic index for multimedia data is an important and challenging problem for multimedia information systems. In this paper, we present a novel approach to build a semantic video index for digita...
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Chapter and Conference Paper
SM3+: An XML Database Solution for the Management of MPEG-7 Descriptions
MPEG-7 is a promising standard for the description of multimedia content. A lot of applications based on MPEG-7 media descriptions have been set up. Therefore, an efficient storage solution for large amounts o...
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Chapter and Conference Paper
Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model
Detection of salient regions in images is useful for object based image retrieval and browsing applications. This task can be done using methods based on the human visual attention model [1], where feature map...
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Chapter and Conference Paper
Efficient Sampling: Application to Image Data
Sampling is an important preprocessing algorithm that is used to mine large data efficiently. Although a simple random sample often works fine for reasonable sample size, accuracy falls sharply with reduced sa...
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Chapter and Conference Paper
HMM-Based Audio Keyword Generation
With the exponential growth in the production creation of multimedia data, there is an increasing need for video semantic analysis. Audio, as a significant part of video, provides important cues to human perce...
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Chapter and Conference Paper
Semantic Analysis of Basketball Video Using Motion Information
This paper presents a new method for extracting semantic information from basketball video. Our approach consists of three stages: shot and scene boundary detection, scene classification and semantic video ana...
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Chapter and Conference Paper
Multimedia Web Services for an Object Tracking and Highlighting Application
Over the years, multimedia applications are getting increasingly more complex and large in scale. Multimedia Web Service is identified as one of the possible solutions to meet the challenges. The advantages of...
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Chapter and Conference Paper
Web Image Clustering with Reduced Keywords and Weighted Bipartite Spectral Graph Partitioning
There has been recent work done in the area of search result organization for image retrieval. The main aim is to cluster the search results into semantically meaningful groups. A number of works benefited fro...
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Chapter and Conference Paper
Motion Context: A New Representation for Human Action Recognition
One of the key challenges in human action recognition from video sequences is how to model an action sufficiently. Therefore, in this paper we propose a novel motion-based representation called Motion Context (MC...
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Chapter and Conference Paper
Discovering Class-Specific Informative Patches and Its Application in Landmark Charaterization
Discovering class-specific informative regions for a given concept with a few images is an interesting but very challenging task, due to occlusion, scale changes of objects, as well as different views under va...
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Chapter and Conference Paper
Image-to-Class Distance Metric Learning for Image Classification
Image-To-Class (I2C) distance is first used in Naive-Bayes Nearest-Neighbor (NBNN) classifier for image classification and has successfully handled datasets with large intra-class variances. However, the perfo...
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Chapter and Conference Paper
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear similarity of features, which ma...
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Chapter and Conference Paper
Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content
Salient region detection in images is a challenging task, despite its usefulness in many applications. By modeling an image as a collection of clusters, we design a unified clustering framework for salient reg...
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Chapter and Conference Paper
Topic Based Query Suggestions for Video Search
Query suggestion is an assistive technology mechanism commonly used in search engines to enable a user to formulate their search queries by predicting or completing the next few query words that the user is li...
