Accessing Dynamic Networked Multimedia Events
The main goal of inEvent is to develop new means to structure, retrieve, and share large archives of networked, and dynamically changing, multimedia recordings, mainly consisting here of meetings, video-conferences, and lectures.
Several partners of the inEvent consortium have indeed access to (and continuously generate) such large multimedia repositories, which keep being enriched everyday by new recordings, as well as social network data. The resulting resources often share common or related information, or are highly complementary, but also come from different sources, in different formats, and different types of metadata information (if any). Hence, it is still impossible to properly search across those very rich multimedia resources simply based on metadata.
Exploiting, and going beyond, the current state-of-the-art in audio, video, and multimedia processing and indexing, the present project proposes research and development towards a system that addresses the above problem by breaking our multimedia recordings into interconnected "hyper-events" (as opposed to hypertext) consisting of a particular structure of simpler "facets" which are easier to search, retrieve and share. Building and adaptively linking such "hyper-events", as a means to search and link networked multimedia archives, will result in more efficient search system, in which information can be retrieved based on "insights" and "experiences" (in addition to the usual metadata).
Reaching the aforementioned goal requires challenging RTD efforts going much beyond current state-of-the- art in the fields of knowledge representation, audio processing, video analysis, semantics of information, and exploitation of social network information. Ultimately, the main goal of inEvent could thus be summarized as developing new ways to replace the usual "hypertext" links (linking "information" bits) by multi-faceted "hyper-events" (linking different "experiences/insights" related to dynamic multimedia recordings).
Keywords: Networked multimedia events; indexing and searching, multimedia indexing, retrieval, searching, and sharing, social network data exploitation, hyper-events.
Partners
Industrial partners |
|
RADVISION LTD ( RVSN), IL Contact: Einat Yellin and Yair Wiener Areas of expertise : Video and Voice over IP, Unified Visual Communications, Telecommunications Standardization, Integration of Communication Systems, User Focused Customization, video network management and control interfaces; a system for video-conference acquisition is available and exploited commercially. |
|
|
|
IBM Israel - Science and Technology Ltd. (IBM), IL Contact: Vova Soroka and Zak Mandel Areas of expertise : Meeting processing, speech and image processing, standards-based video networking, indexing, media and metadata storage, federated and unified search, social collaboration, Web2.0, scalable and resilient large-scale infrastructures; a preliminary system for multimedia meetings recording and retrieval is available. |
|
|
|
Klewel SA (KLE), CH Contact: Maël Guillemot, CEO Areas of expertise : Multimedia capture, multimedia indexing, user experience analysis and design, pod and vodcasting, automatic publishing and interactive online distribution; a system for multimedia lecture acquisition and indexing is available and exploited commercially. |
|
|
Non-profit research institute |
|
|
|
Idiap Research Institute (Idiap), CH Contact: Prof. Hervé Bourlard Areas of expertise : Speech and audio processing, computer vision, machine learning, multimodal interaction, multimedia indexing, human-human communication scene analysis, social signaling and human behavior analysis; several prototypes for multimedia meetings recording and retrieval are available. |
|
|
|
Fraunhofer Heinrich-Hertz-Institute (HHI), Image Processing Department, DE Contact: Dr. Oliver Scheer Areas of expertise : Real-time video analysis, human-motion and human behavior analysis as well as semantic annotation. |
|
|
|
University of Edinburgh (UEDIN), GB Contact: Prof. Steve Renals Areas of expertise : Human language technologies, multimodal processing, machine learning, social signal processing; several prototypes for multimedia meetings recording and retrieval are available. |

