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eBook Multimedia Mining: A Highway to Intelligent Multimedia Documents (Multimedia Systems and Applications) ePub

eBook Multimedia Mining: A Highway to Intelligent Multimedia Documents (Multimedia Systems and Applications) ePub

by Chabane Djeraba

  • ISBN: 1402072473
  • Category: Computer Science
  • Subcategory: Computers
  • Author: Chabane Djeraba
  • Language: English
  • Publisher: Springer; 2003 edition (November 30, 2002)
  • Pages: 231
  • ePub book: 1139 kb
  • Fb2 book: 1882 kb
  • Other: azw docx txt doc
  • Rating: 4.6
  • Votes: 764

Description

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.

FREE shipping on qualifying offers. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis. To get the free app, enter your mobile phone number.

Multimedia documents are ubiquitous and often required, if not essential, in many applications today.

Автор: Djeraba Chabane Название: Multimedia Mining, A Highway to Intelligent Multimedia Documents Издательство .

This phenomenon has made multimedia documents widespread and extremely large.

Multimedia Systems and Applications. 22 巻. Chabane Djeraba2012年12月6日. Springer Science & Business Media. This new field of knowledge discovery in multimedia documents, dealing with non-structured information such as texts, images, videos, audio and virtual data, requires the collaboration of experts in many areas of interest revolving around document management systems, data mining, visual computing, signal processing, multimedia data and machine learning.

oceedings{aMA, title {Multimedia Mining: A Highway to Intelligent Multimedia Documents}, author {Chabane Djeraba}, booktitle {Multimedia Systems and Applications}, year {2002} }. Chabane Djeraba. The conjunction of knowledge discovery and multimedia documents presents a very important challenge.

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.

Distributed Multimedia Systems and Protocols for Multimedia Systems . What are Multimedia Systems? This book is intended to expose you to multimedia in its widest sense.

Distributed Multimedia Systems and Protocols for Multimedia Systems, IDMS/PROMS 2002, held. Multimedia, Communication and Computing Application: Proceedings of the 2014 International Conference on Multimedia, Communication and Computing Application (MCCA2014), Xiamen, China, Oct 16-17, 2014. Readings in Multimedia Computing and Networking (The Morgan Kaufmann Series in Multimedia Information and Systems).

Applications of multimedia is used in many fields now a days. There are so many applications of multimedia in this web world. Let us consider few. They are as follows: Multimedia in Entertainment. In entertainment, education, security, business, software and web. These multimedia applications. Multimedia in Business. Multimedia in Software. Multimedia in Education and Training. Multimedia on the Web.

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.