Abstract In this paper, we present an overview of a new approach to indexing and searching the video sequence by the content that has been developed within the REGIMVid project. The platform termed MAVSIR provides High-level feature extraction from audio-visual content and concept/event-based video retrieval. We describe the architecture of the system as well as provide an overview of the descriptors... In this paper, we present an overview of a new approach to indexing and searching the video sequence by the content that has been developed within the REGIMVid project. The platform termed MAVSIR provides High-level feature extraction from audio-visual content and concept/event-based video retrieval. We describe the architecture of the system as well as provide an overview of the descriptors supported to date. We then demonstrate the usefulness of the toolbox in the context of feature extraction, concepts/events learning and retrieval in large collections of video surveillance dataset. Read More Read Less

Abstract Community Coordinated Multimedia (CCM) empowers users’ experiences through providing services of multimedia aggregation, delivery, sharing, and viewing within a community via the Internet. Annotating and feeding external information on movies really enrich users’ viewing experiments through providing digital movie guide services. This paper elaborates Community Coordinated Multimedia focusing on the supporting of multimedia annotation and viewing guide services. We analyze... Community Coordinated Multimedia (CCM) empowers users’ experiences through providing services of multimedia aggregation, delivery, sharing, and viewing within a community via the Internet. Annotating and feeding external information on movies really enrich users’ viewing experiments through providing digital movie guide services. This paper elaborates Community Coordinated Multimedia focusing on the supporting of multimedia annotation and viewing guide services. We analyze the requirements for developing Digital Movie Guide (DMG) service. With the flowchart design and the annotation file structure design of DMG, we develop the Digital Movie Guide (DMG) service architecture. The DMG service demo version is implemented and evaluated for testing its impacts on enhancing the user’s viewing experience. The result is positive and gives encouragement. Read More Read Less

Abstract The importance of semantic interoperability has grown in recent years with the emergence of increasingly interrelated information systems. We present in this paper a context-based query answering for semantic interoperable information systems. The algorithm is self-adapted to the changes of the environment, offers a wide aptitude and solves the various data conflicts in a dynamic way, it reformulates the query... The importance of semantic interoperability has grown in recent years with the emergence of increasingly interrelated information systems. We present in this paper a context-based query answering for semantic interoperable information systems. The algorithm is self-adapted to the changes of the environment, offers a wide aptitude and solves the various data conflicts in a dynamic way, it reformulates the query using the schema mediation method for the discovered systems and the context mediation for the other systems. Another advantage of our approach consists in the exploitation of intelligent agents for query reformulation and the use of a new technology for the semantic representation. Read More Read Less

Abstract As one of soft computing optimization tools, Particle Swarm Optimization (PSO) has been applied in many fields such as in handwritten recognition and classification. Associated with the development of PSO algorithm is the data representation to be used as input to the algorithm. One of data representation scheme is Freeman chain code (FCC). As one of traditional scheme in representing... As one of soft computing optimization tools, Particle Swarm Optimization (PSO) has been applied in many fields such as in handwritten recognition and classification. Associated with the development of PSO algorithm is the data representation to be used as input to the algorithm. One of data representation scheme is Freeman chain code (FCC). As one of traditional scheme in representing data, FCC is still relevant as a scheme in data compression and representation. The scheme is proposed in this paper to represent Latin handwritten as isolated character and as input to the PSO algorithm. The main problem related to FCC and handwritten recognition to be solved in this paper is in representing and recognizing character because the length of the FCC depends on the starting points. Therefore, every pixel (or node) must be coded with a specific number depending on its direction. In addition to the isolated characters especially the uppercase characters, the traversing process of each pixel (or node) of this type is more difficult because of the problem in finding several branches and revisiting the same nodes. As a solution, one continuous route is proposed to solve the problems which cover all of the nodes in the character image. The proposed PSO algorithms extract the FCC from the thinned binary image of the character and recognize difficult characters based on the series of FCC. Two performance parameters used to measure the performance of the PSO algorithm are the computational time and route length. Result shows that the PSO algorithms successfully extract FCC and recognize character at a relatively shorter computational time and route length. Read More Read Less