Advances in Multimedia Modeling
13th International Multimedia Modeling Conference, MMM 2007, Singapore, January 9-12, 2007. Proceedings, Part I
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Chapter and Conference Paper
Phase Fourier Reconstruction for Anomaly Detection on Metal Surface Using Salient Irregularity
In this paper, we propose a Phase Fourier Reconstruction (PFR) approach for anomaly detection on metal surfaces using salient irregularities. To get salient irregularity with images captured from an automatic ...
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Article
Open AccessContent on demand video adaptation based on MPEG-21 digital item adaptation
One of the major objectives in multimedia research is to provide pervasive access and personalized use of multimedia information. Pervasive access of video data implies the access of cognitive and affective as...
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Article
A non-parametric visual-sense model of images—extending the cluster hypothesis beyond text
The main challenge of a search engine is to find information that are relevant and appropriate. However, this can become difficult when queries are issued using ambiguous words. Rijsbergen first hypothesized a...
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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...
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Chapter and Conference Paper
Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization
Image-to-Class (I2C) distance has demonstrated its effectiveness for object recognition in several single-label datasets. However, for the multi-label problem, where an image may contain several regions belong...
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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
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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Article
Image retrieval ++—web image retrieval with an enhanced multi-modality ontology
In this paper we present an enhanced multi-modality ontology-based approach for web image retrieval step by step. Several ontology-based approaches have been made in the field of multimedia retrieval. Our mult...
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Article
NBgossip: An Energy-Efficient Gossip Algorithm for Wireless Sensor Networks
Gossip-based algorithms for information dissemination have recently received significant attention for sensor and ad hoc network applications because of their simplicity and robustness. However, a common drawb...
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Article
Image retrieval with a multi-modality ontology
Ontologies represent domain concepts and relations in a form of semantic network. Many research works use ontologies in the information matchmaking and retrieval. This trend is further accelerated by the conve...
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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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Article
Open AccessMultimodal Semantic Analysis and Annotation for Basketball Video
This paper presents a new multiple-modality method for extracting semantic information from basketball video. The visual, motion, and audio information are extracted from video to first generate some low-level...
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Article
Efficient data reduction in multimedia data
As the amount of multimedia data is increasing day-by-day thanks to cheaper storage devices and increasing number of information sources, the machine learning algorithms are faced with large-sized datasets. Wh...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Multimedia Modeling
13th International Multimedia Modeling Conference, MMM 2007, Singapore, January 9-12, 2007. Proceedings, Part II
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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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Article
Automatic Generation of MPEG-7 Compliant XML Document for Motion Trajectory Descriptor in Sports Video
The MPEG-7 standard is a step towards standardizing the description of multimedia content so that quick and efficient identification of relevant content can be facilitated, together with efficient management o...
