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Book
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Chapter and Conference Paper
Towards a Next-Generation Search Engine
As more information becomes available on the World Wide Web, it has become an acute problem to provide effective search tools for information access. Previous generations of search engines are mainly keyword-b...
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Chapter and Conference Paper
A New Shot Boundary Detection Algorithm
Shot is often used as basic unit for both analyzing and indexing video. In this paper, we present an algorithm for automatic shot detection. In our algorithm, we use a ‘flash model’ and a ‘cut model’ to deal w...
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Chapter
Improving Image Retrieval with Semantic Classification Using Relevance Feedback
In this paper, we investigate the combination of image semantic classification with content-based image retrieval. A flexible scheme is proposed to take advantage of image classification, which may be obtained...
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Article
Motion-Based Video Representation for Scene Change Detection
In this paper, we present a new framework to automatically group similar shots into one scene, where a scene is generally referred to as a group of shots taken place in the same site. Two major components in t...
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Article
A systematic rate controller for MPEG-4 FGS video streaming
This paper proposes a systematic rate controller (SRC) for content-aware streaming of MPEG-4 FGS video over the Internet. An active layer drop** technique is proposed to provide both coarse-grain and fine-g...
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Chapter and Conference Paper
Learning in Region-Based Image Retrieval
In this paper, several effective learning algorithms using global image representations are adjusted and introduced to region-based image retrieval (RBIR). First, the query point movement technique is consider...
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Article
Motion Pattern-Based Video Classification and Retrieval
Today′s content-based video retrieval technologies are still far from human′s requirements. A fundamental reason is the lack of content representation that is able to bridge the gap between visual features and...
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Article
Content-based audio classification and segmentation by using support vector machines
Content-based audio classification and segmentation is a basis for further audio/video analysis. In this paper, we present our work on audio segmentation and classification which employs support vector machin...
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Article
Alternating Feature Spaces in Relevance Feedback
Image retrieval using relevance feedback can be treated as a two-class learning and classification process. The user-labelled relevant and irrelevant images are regarded as positive and negative training sampl...
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Article
A visual attention model for adapting images on small displays
Image adaptation, one of the essential problems in adaptive content delivery for universal access, has been actively explored for some time. Most existing approaches have focused on generic adaptation with a v...
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Chapter and Conference Paper
Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval
In this paper, a relevance feedback scheme for both keyword and visual feature-based image retrieval is proposed. For each keyword, a statistical model is trained offline based on visual features of a small se...
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Chapter
Query Clustering in the Web Context
Query clustering is a class of techniques aiming at grou** users’ semantically related, not syntactically related, queries in a query repository, which were accumulated with the interactions between users an...
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Article
Robust Face Detection in Airports
Robust face detection in complex airport environment is a challenging task. The complexity in such detection systems stems from the variances in image background, view, illumination, articulation, and facial e...
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Book and Conference Proceedings
Information Retrieval Technology
Asia Information Retrieval Symposium, AIRS 2004, Bei**g, China, October 18-20, 2004. Revised Selected Papers
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Chapter and Conference Paper
Classification of Digital Photos Taken by Photographers or Home Users
In this paper, we address a specific image classification task, i.e. to group images according to whether they were taken by photographers or home users. Firstly, a set of low-level features explicitly related...
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Chapter and Conference Paper
An Attention-Based Decision Fusion Scheme for Multimedia Information Retrieval
In this paper, we proposed a novel decision fusion scheme based on the psychological observations on human beings’ visual and aural attention characteristics, which combines a set of decisions obtained from di...
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Chapter and Conference Paper
Automatic Peak Number Detection in Image Symmetry Analysis
In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Previous work inevitably needs users to se...
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Chapter and Conference Paper
Spatio-temporal Pattern Mining in Sports Video
Sports video is characterized with strict game rules, numerable events and well defined structures. In this paper, we proposed a generic framework for spatio-temporal pattern mining in sports video. Specifical...
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Chapter and Conference Paper
Face Appeal Model Based on Statistics
Human appearance plays an important role in image appeal ranking for efficient management of digital photographs. Considering that face is the most salient character of human beings, we propose a face appeal m...