19 Result(s)
within
Chapter
Hong Jiang Zhang
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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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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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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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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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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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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 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...
