Information Retrieval Technology
Asia Information Retrieval Symposium, AIRS 2004, Bei**g, China, October 18-20, 2004. Revised Selected Papers
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Article
Content-based tag processing for Internet social images
Online social media services such as Flickr and Zooomr allow users to share their images with the others for social interaction. An important feature of these services is that the users manually annotate their...
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Chapter
Tag-Based Social Image Search: Toward Relevant and Diverse Results
Recent years have witnessed a great success of social media websites. Tag-based image search is an important approach to access the image content of interest on these websites. However, the existing ranking me...
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Chapter and Conference Paper
Social Image Search with Diverse Relevance Ranking
Recent years have witnessed the success of many online social media websites, which allow users to create and share media information as well as describe the media content with tags. However, the existing rank...
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Chapter and Conference Paper
Multiple-Instance Active Learning for Image Categorization
Both multiple-instance learning and active learning are widely employed in image categorization, but generally they are applied separately. This paper studies the integration of these two methods. Different fr...
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Chapter
Automatic Home Video Editing
In this chapter, we present an optimization-based system for editing home video in an automatic manner. This system automatically selects highlight segments from a set of raw home videos and aligns them with a...
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Article
Scalable search-based image annotation
With the popularity of digital cameras, more and more people have accumulated considerable digital images on their personal devices. As a result, there are increasing needs to effectively search these personal...
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Article
Open AccessManifold-Ranking-Based Keyword Propagation for Image Retrieval
A novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each keyword, ou...
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Article
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilistic semantic model in which th...
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Article
Unsupervised speaker segmentation and tracking in real-time audio content analysis
This paper addresses the problem of real-time speaker segmentation and speaker tracking in audio content analysis in which no prior knowledge of the number of speakers and the identities of speakers is availab...
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Book and Conference Proceedings
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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...
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Chapter and Conference Paper
Dominant Feature Vectors Based Audio Similarity Measure
This paper presents an approach to extracting dominant feature vectors from an individual audio clip and then proposes a new similarity measure based on the dominant feature vectors. Instead of using the mean ...
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Chapter and Conference Paper
Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval
To improve the precision of top-ranked images returned by a web image search engine, we propose in this paper a novel pseudo relevance feedback method named iterative probabilistic one-class SVMs to re-rank th...
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Chapter and Conference Paper
A Hierarchical Dynamic Bayesian Network Approach to Visual Tracking
Usually a uniform observation strategy will result in frustrated tracking processes. To address this problem, we construct a flexible model with Hierarchical Dynamic Bayesian Network by introducing hidden vari...
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Chapter and Conference Paper
Perceptual Video Streaming by Adaptive Spatial-temporal Scalability
To maximize user satisfaction of video streaming, there is a tradeoff between spatial quality (image clarity) and temporal quality (motion smoothness) under a limited bandwidth. How to balance the requirement ...
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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...
