Multimedia Mining
- Indbinding:
- Hardback
- Sideantal:
- 231
- Udgivet:
- 30. november 2002
- Udgave:
- 2003
- Størrelse:
- 162x20x243 mm.
- Vægt:
- 544 g.
- 8-11 hverdage.
- 15. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Multimedia Mining
Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines.
Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.
Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.
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Bogen Multimedia Mining findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Sprog og lingvistik
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori
- Lægevidenskab og sygepleje
- Databehandling og informationsteknologi > Grafisk IT og digitale medier
- Databehandling og informationsteknologi > Programmering / softwareudvikling > Algoritmer og datastrukturer
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
- Databehandling og informationsteknologi > Informatik > Billedbehandling
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