Conference Paper

From Data To Insight: The Community Of Multimedia Agents.

DOI: 10.1007/978-3-540-39666-6_10 Conference: Proceedings of the Third International Workshop on Multimedia Data Mining, MDM/KDD'2002, July 23rd, 2002, Edmonton, Alberta, Canada
Source: DBLP

ABSTRACT Multimedia Data Mining requires the ability to automatically analyze and understand the content. The Community of Multimedia Agents project (COMMA) is devoted to creating an open environment for developing, testing, learning and prototyping multimedia content analysis and annotation methods. It serves as a medium for researchers to contribute and share their achievements while protecting their proprietary techniques. Each method is represented as an agent that can communicate with the other agents registered in the environment using templates that are based on the Descriptors and Description Schemes in the emerging MPEG-7 standard. This allows agents developed by different organizations to operate and communicate with each other seamlessly regardless of their programming languages and internal architecture. A Development Environment is provided to facilitate the construction of media analysis methods. The tool contains a Workbench using which the user can integrate the agents to build more sophisticated systems, and a Blackboard Browser that visualizes the processing results. It enables researchers to compare the performance of different agents and combine them to build more powerful and robust system prototypes. The COMMA can also serve as a learning environment for researchers and students to acquire and test cutting edge multimedia analysis algorithms. Thus the efficiency of research in this area can be improved by sharing of media agents.

0 Bookmarks
 · 
58 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: With the explosive broadcast of multimedia (text documents, image, video etc.) in our life, how to annotate, search, index, browse and relate various forms of information efficiently becomes more and more important. Combining these challenges by relating them to user preference and customization only complicates the matter further. The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference. This paper will present some current models and techniques being researched to model ontology, preference, context, and presentation and bring them together in a chain of ideas that leads from raw uninformed data to an actual usable user interface that adapts with user preference and customization.
    Multimedia Tools and Applications 01/2011; 51:247-277. · 1.01 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a methodology for developing audio processing agents for a multi-agent environment that is known as the Community of Multimedia Agents. The Community's philosophy, objectives and architecture are described. The methodology is illustrated using audio feature extraction agents as example. The algorithms used for extracting audio features are classical and work in general audio domain. The agents have the standard MPEG-7 interface for better interoperation and wide usage. Two low level tools -the MPEG-7 audio descriptor wrapper classes and the MPEG audio decoder – are also presented. An example of agent aggregation for an annotation system prototyping is provided.
    01/2003;
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: ABSTRACT The aim of this ,paper is to present an overview ,of the ,current situation in this hot topic of Multimedia ,Information Retrieval: Personalization. We ,are ,considering ,several aspects of this problem. On one hand, the user will want to have a personalized access to his image/video collections and this can be achieved,by providing,intuitive and ,natural ,browsing ,capabilities and customized features. Furthermore, the system is required to perform user profiling and to adapt the existing parameters of the system to the user needs and interest. On the other hand, it is also important to consider ,the devices and applications in which ,this technology,is going ,to be ,deployed. Mobile media ,is a ,high growth,area but the state-of-the-art technologies ,are lagging behind,the consumers ,expectations. We are ,addressing ,in this paper precisely these three important aspects. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Information Filtering; H.4 [Information Systems Applications]: Miscellaneous General Terms
    Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2007, Augsburg, Bavaria, Germany, September 24-29, 2007; 01/2007

Full-text (4 Sources)

View
40 Downloads
Available from
May 22, 2014