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Signal Processing Magazine, IEEE

Issue 6 • Date Nov. 2000

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Displaying Results 1 - 4 of 4
  • Author Index

    Publication Year: 2000 , Page(s): 58 - 59
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    Freely Available from IEEE
  • Subject index

    Publication Year: 2000 , Page(s): 59 - 63
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    Freely Available from IEEE
  • Object-based sound synthesis for virtual environments-using musical acoustics

    Publication Year: 2000 , Page(s): 37 - 51
    Cited by:  Papers (5)  |  Patents (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (428 KB)  

    We show how to construct an object-based environment for sound generation, whose objects can be individually synthesized and which can interact with each other through modelling of a potential interaction topology. We show how this interaction topology can be mode dynamic and time-varying. We also discuss how we envision an object-based environment that integrates geometric, radiometric, and intrinsic/extrinsic acoustic properties. We finally illustrate our first results towards modelling of complex sound generation systems View full abstract»

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  • Multimedia content analysis-using both audio and visual clues

    Publication Year: 2000 , Page(s): 12 - 36
    Cited by:  Papers (121)  |  Patents (65)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1848 KB)  

    Multimedia content analysis refers to the computerized understanding of the semantic meanings of a multimedia document, such as a video sequence with an accompanying audio track. With a multimedia document, its semantics are embedded in multiple forms that are usually complimentary of each other, Therefore, it is necessary to analyze all types of data: image frames, sound tracks, texts that can be extracted from image frames, and spoken words that can be deciphered from the audio track. This usually involves segmenting the document into semantically meaningful units, classifying each unit into a predefined scene type, and indexing and summarizing the document for efficient retrieval and browsing. We review advances in using audio and visual information jointly for accomplishing the above tasks. We describe audio and visual features that can effectively characterize scene content, present selected algorithms for segmentation and classification, and review some testbed systems for video archiving and retrieval. We also describe audio and visual descriptors and description schemes that are being considered by the MPEG-7 standard for multimedia content description View full abstract»

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Aims & Scope

IEEE Signal Processing Magazine publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest.

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Meet Our Editors

Editor-in-Chief
Min Wu
University of Maryland, College Park
United States 

http://www/ece.umd.edu/~minwu/