A digital-video management project dealing with segmentation, annotation, retrieval, and other related topics has been active for several years at the Microgravity Advanced Research Support (MARS) Center, in Naples, Italy. Our research is part of a field that studies methods of representing and integrating heterogeneous information in distributed, Web environments. In this context, each genre of digital video (such as news, television shows, documentaries, and cultural-heritage videos) presents its knowledge in different forms and structures. Furthermore, for each genre, various methodologies and schools of thought exist that structure the knowledge in digital videos differently. For example, in the field of cinematographic theory, different methods of film segmentation exist, and for those in the cultural heritage field, how they classify objects in different videos depends on the classification criteria in each country. Because of the heterogeneity of knowledge in videos, weve aimed to create a methodology that allows for structural flexibility (archiving) of the video content and to define and implement an efficient retrieval mechanism for archived videos. From an architectural point of view, our strategy has been: - defining the distributed video resources as agents that possess beliefs (or metadata) about video segmentation and that can carry out inferences on the relative metadata; - implementing the agents, in the form of an effective Web resource, within the Resource Description Framework (RDF). We wish to emphasize the idea of an agent as a resource in RDF. We believe that it constitutes a solution that goes beyond the digital-video domain and that researchers can apply it to most types of Web resources.
Digital Video Management for Heterogeneous and Distributed Resourses
Mele F;
2001
Abstract
A digital-video management project dealing with segmentation, annotation, retrieval, and other related topics has been active for several years at the Microgravity Advanced Research Support (MARS) Center, in Naples, Italy. Our research is part of a field that studies methods of representing and integrating heterogeneous information in distributed, Web environments. In this context, each genre of digital video (such as news, television shows, documentaries, and cultural-heritage videos) presents its knowledge in different forms and structures. Furthermore, for each genre, various methodologies and schools of thought exist that structure the knowledge in digital videos differently. For example, in the field of cinematographic theory, different methods of film segmentation exist, and for those in the cultural heritage field, how they classify objects in different videos depends on the classification criteria in each country. Because of the heterogeneity of knowledge in videos, weve aimed to create a methodology that allows for structural flexibility (archiving) of the video content and to define and implement an efficient retrieval mechanism for archived videos. From an architectural point of view, our strategy has been: - defining the distributed video resources as agents that possess beliefs (or metadata) about video segmentation and that can carry out inferences on the relative metadata; - implementing the agents, in the form of an effective Web resource, within the Resource Description Framework (RDF). We wish to emphasize the idea of an agent as a resource in RDF. We believe that it constitutes a solution that goes beyond the digital-video domain and that researchers can apply it to most types of Web resources.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
