2005 Proceeding- Conference Chairs:
- Fatma Bouali,
- Latifur Khan,
- Florent Masseglia
Data mining efforts are getting beyond the area of databases. They have been focusing on data collected in fields like art, design, hypermedia and digital media production, case-based reasoning and computational modeling of creativity, including evolutionary computation, and medical multimedia data. These exotic fields use variety of data sources and structures, interrelated by the nature of the phenomenon that these structures describe. As a result there is an increasing interest in new techniques and tools that can detect and discover patterns that can lead to a new knowledge in the problem domain where the data has been collected. There is also an increasing interest in the analysis of multimedia data generated by different distributed applications, like collaborative virtual environments, virtual communities, and multi-agent systems. These heterogeneous multimedia data records require sophisticated preprocessing, synchronization and other transformation procedures before even getting to the analysis stage.On the other hand, researchers in multimedia information systems, in the search for techniques for improving the indexing and retrieval of multimedia information are looking into new methods for discovering indexing information. Variety of techniques from machine learning, statistics, databases, knowledge acquisition, data visualization, image analysis, high performance computing, and knowledge-based systems, have been used mainly as a research handcraft activity. The development of multimedia databases and their query interfaces recall again the idea of incorporating multimedia data mining methods for dynamic indexing. The emerging international standard for multimedia content description (MPEG-7) promises to foster the collaboration in the field giving a uniform data representation.The 6th Workshop on Multimedia Data mining continues the series of successful workshops that have been held in conjunction with KDD Conferences in Boston (2000), San Francisco (2001), Edmonton (2002), Washington (2003) and Seattle (2004). These workshops brought together numerous experts in spatial data analysis, digital media, multimedia information retrieval, stateof- art data mining and knowledge discovery in multimedia database systems, and data analysis in collaborative virtual environments. For more information about the workshops see the reports in <I>SIGKDD Exploration</I> (2(2), 3 (2) and 4(2)).The topic of the 6th Workshop is <I>Multimedia Mining</I>. It means that the Workshop focuses on issues related to mining information from multi-modality, multisource, multi-format data in an integrated way. The selected papers represent a wide range of approaches, techniques, and tool that cover different aspects of image, audio and video indexing and annotation, and their integration into intelligent decision making systems. Furthermore, in order to encourage submissions of greenhouse work, which present early stages of cutting-edge research and development, this year a "short papers" session is added to the program of MDM 2005. This session will give to research teams the opportunity to present their research problems. In addition to the program of accepted papers, the workshop will enjoy an invited speaker: Professor Christos Faloutsos, Dept of Computer Science, Carnegie Mellon University, USA.
Proceeding Downloads
A multiversion model for multimedia data warehouse
The traditional multidimensional models have a static structure where members of dimensions are computed in a unique way. However, multimedia data is often characterized by descriptors that can be obtained by various computation modes. We define these ...
Collaborative multi-strategy classification: application to per-pixel analysis of images
This paper presents a new process of collaborative multi-step multi-strategy classification of complex data. Our goal is to be able to handle in the same system several instances of classifiers in order to make them collaborate. In this paper, we ...
A framework to support multiple query optimization for complex mining tasks
With an increasing use of data mining tools and techniques, we envision that a Knowledge Discovery and Data Mining System (KDDMS) will have to support and optimize for the following scenarios: 1) Sequence of Queries: A user may analyze one or more ...
A generalized metric distance between hierarchically partitioned images
This article presents a generalized metric distance, called Δ-distance, between images represented by a tree structure resulting from a recursive image partition. This distance is used to perform content-based image retrieval queries in databases. Δ-...
Effective image and video mining: an overview of model-based approaches
This paper is dedicated to revisiting image and video mining techniques from the viewpoint of image modeling approaches, which constitute the theoretical basis for these techniques. The most important areas belonging to image or video mining are: image ...
Multiple sensor integration for indoor surveillance
Multiple Sensor Indoor Surveillance (MSIS) is a research project at Accenture Technology Labs aimed at exploring a variety of redundant sensors in a networked environment where each sensor is giving noisy information and the goal is to coherently reason ...
Classify By Representative Or Associations (CBROA): a hybrid approach for image classification
Image classification has been an interesting research issue in multimedia content analysis due to the wide applications. In this paper, we observe that images can be classified (or annotated) in two ways: i) Classify by some main object, ii) Classify by ...
OCRS: an Interactive Object-based Image Clustering and Retrieval System
In this paper, we propose an Interactive Object-based Image Clustering and Retrieval System (OCRS). The system incorporates two major modules: Preprocessing and Object-based Image Retrieval. In preprocessing, we use WavSeg to segment images into ...
A framework for a video analysis tool for suspicious event detection
This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today's world of omnipresent surveillance video. Ideas and techniques for closing the semantic gap between ...
Message correlation in automated communication surveillance through singular value decomposition and word frequency association
Automated surveillance methods frequently rely on algorithms which detect the presence of suspicious keywords and topics within messages to properly flag suspicious content for review. However, subsequent messages based on the original may not carry the ...
A similarity measure for motion stream segmentation and recognition
Recognition of motion streams such as data streams generated by different sign languages or various captured human body motions requires a high performance similarity measure. The motion streams have multiple attributes, and motion patterns in the ...
Analyzing user's behavior on a video database
The analysis of user behaviors in large video databases is an emergent problem. The growing importance of video in every day life (ex. Movie production) is bound to the importance of video usage. In order to cope with the abundance of available videos, ...
Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW
This work represents an initial investigation into determining whether correlations actually exist between metadata and content descriptors in multimedia datasets. We provide a quantitative method for evaluating whether the hue of images on the WWW is ...
Learning semantics-preserving distance metrics for clustering graphical data
In mining graphical data the default Euclidean distance is often used as a notion of similarity. However this does not adequately capture semantics in our targeted domains, having graphical representations depicting results of scientific experiments. It ...
- Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data