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Autor(en): 
  • C. C. Jay Kuo
  • Tong Zhang
  • Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Januar 2001  
    Genre:  EDV / Informatik 
     
    Algorithms & data structures / B / Data structures (Computer science) / Data Structures and Information Theory / Data Warehousing / engineering / Image processing / Imaging systems & technology / Information Retrieval / Information Storage and Retrieval / Information theory / Multimedia Information Systems / Signal Processing / Signal, Image and Speech Processing / Signal, Speech and Image Processing / Speech processing systems
    ISBN:  9780792372875 
    EAN-Code: 
    9780792372875 
    Verlag:  Springer Us 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #606 - The Springer International Series in Engineering and Computer Science  
    Dimensionen:  H 241 mm / B 160 mm / D 14 mm 
    Gewicht:  418 gr 
    Seiten:  164 
    Zus. Info:  HC runder Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis. Included is extensive treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. In addition to the commonly studied audio types such as speech and music, the authors have included hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams.

      
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