D. Swanberg, C.F. Chu, and R. Jain. Architecture of a multimedia information system for content-based retrieval. In Proc. 3rd International Workshop on Network and Operating System Support for Digital Audio and Video., La Jolla, CA, November 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....edit and annotate a personally customized view of the video footage. For example, users cannot create a new movie from the collection of scenes that are returned as a result of a query. Moreover, the browser does not support queries based on the temporal ordering of scenes. Swanberg, et al. [8, 9] defines an architecture for parsing data semantics from the video stream. It uses a fixed set of video elements (including a shot and an episode) and is not suitable for free form modeling of the complex relations between video segments. Multimedia authoring systems such as CMIFed [12] have ....

D. Swanberg, C.F. Chu, and R. Jain. Architecture of a multimedia information system for content-based retrieval. In Proc. 3rd International Workshop on Network and Operating System Support for Digital Audio and Video., La Jolla, CA, November 1992.

....synthesize video intervals from those fragmentary intervals to answer queries. IV. Video Indexing There are two general approaches to associate descriptive information about the contents of video data segmentation approach and stratification approach. The segmentation approach [13] 22] [24], 29] physically divides the raw video data into shots, scenes etc. Annotation models based on this approach are focussed specifically on the structural information of video data. This approach is straightforward and query processing is rather easy. There, however, have been many criticisms of ....

D. Swanberg, C. Shu, and R. Jain. "Architecture of Multimedia Information System for Content-based Retrieval". In Audio Video Workshop and San Diego and CA and USA, November and 1992.

....Second, the system is focused on retrieving previously stored information and is not suitable for users that need to create, edit and annotate a personally customized view of the video footage. Moreover, the browser does not support queries based on the temporal ordering of scenes. Swanberg et al. [16, 17] defines an architecture for parsing data semantics from the video stream. It uses a fixed 5 set of video elements (including shot and episode) and is not suitable for free form modeling of the complex relations between video segments. Gibbs et al. 6] proposes an object oriented approach to ....

D. Swanberg, C.F. Chu, and R. Jain. Architecture of a multimedia information system for content-based retrieval. In Proc. 3rd International Workshop on Network and Operating System Support for Digital Audio and Video., La Jolla, CA, November 1992.

....more than 500 channels are proposed [2] 1 Figure 1: A User Interface to VOD Services temporal model to provide temporal access control (TAC) operations such as fast forward and reverse playout. Research related to this effort includes modeling of unstructured data for content based retrieval [26, 25, 39, 41, 42, 46], modeling of the temporal component of multimedia data [8, 9, 19, 16] modeling of application specific multimedia data (movies) 11, 23, 24, 31, 35, 36] systems support for delivery of audio and video and video servers [1, 29, 43] and network based VOD system design [14, 13, 27, 33, 34] The ....

....by semantic nets. In our prototype system we currently use manual feature extraction of well defined attributes which fit into a 3 fixed data schema. The process of scene identification is semi automated by detection of scene transitions. A similar approach has been applied by Swanberg et al. [42, 41] and MacNeil [25] In the former work, application domainspecific models are used to capture extracted information and to support content based retrieval. In Steven s work in the ALT project at CMU [39] knowledge of content, structure, and use of the content is embedded in video objects. This ....

Swanberg, D., C.F. Shu, and R. Jain, "Architecture of a Multimedia Information System For Content-Based Retrieval," Proc. 3nd International Workshop on Network and Operating System Support for Digital Audio and Video, La Jolla, CA, November 1992.

.... video [15] Unlike that for digital videos, pattern recognition for still images has a long history and has reached a mature level [13] In our context, object recognition is of particular interest, and recent work shows that it is now feasible to use images to query stillimage databases [20] [16]. Our CoP project (Content Processing) aims to combine existing techniques and develop additional algorithms in order to understand as much as possible about the content of films. Automatic content recognition can be used to classify and index the huge amounts of existing stored video. It can also ....

D. Swanberg, C. F. Shu, and R. Jain, "Architecture of a multimedia information system for content-based retrieval," in Third International Workshop on network and operating system support for digital audio and video, (San Diego, California), pp. 345--350, IEEE Computer and Communications Societies, Nov. 1992.

....captured into digital format from an analog source, it initially exists as an unstructured sequence of video frames and audio segments. Several proposed systems extract information from these unstructured streams and then provide a data model that is used for content based access. Swanberg et al. [20, 21] defines such an architecture for parsing data semantics from the video stream. The system manages a fixed data schema for representing information about the video stream, where a shot is defined as a sequence of frames without a scene change, and an episode is a sequence of shots that are somehow ....

D. Swanberg, C.F. Chu, and R. Jain. Architecture of a multimedia information system for content-based retrieval. In Proc. 3rd International Workshop on Network and Operating System Support for Digital Audio and Video., La Jolla, CA, November 1992.

....One of many possible configurations might work for one user but not for another. Although much research has been done to create technical environments for the arrangement of video, i.e. video annotation, retrieval and iconic representation of video (e.g. Davis (1993) Parkes (1989a, 1989b, 1989c) Swanberg et al. 1992), Tonomura et al. 1994) Ueda et al. 1993) we still lack tools to support the actual creative aspects of combining images on the basis of context and filmicity, so that a system itself can find visual solutions that work for the user. If the editing process can be understood and modelled we ....

Swanberg, D., Shu, C. F., & Jain, R. (1992). Architecture of a Multimedia Information System for Content Based Retrieval. In Third International Workshop On Network And Operating System Support For Digital Audio And Video, (pp. 345-350).

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D. Swanberg, C.F. Chu, and R. Jain. Architecture of a multimedia information system for content-based retrieval. In Proc. 3rd International Workshop on Network and Operating System Support for Digital Audio and Video., La Jolla, CA, November 1992.

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