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{ "item_title" : "Multimedia Information Retrieval", "item_author" : [" Matthias Hemmje", "Stefan Wagenpfeil "], "item_description" : "The digital acquisition of information - known as Information Retrieval - has gained enormous importance in recent decades. Due to modern technologies and the spread of multimedia content, the focus is shifting more and more toward Multimedia Information Retrieval (MMIR). This well-founded and comprehensive textbook conveys the fundamentals and formal concepts of MMIR and connects them in a practical way with current developments from research and technology. Both the classical models of MMIR and modern, AI-based methods are presented. The book is aimed at computer science students as well as teachers and professionals in the field of software development who deal with topics such as multimedia, information processing, or user interaction. The Content Information and knowledge Features and feature representation Information Retrieval Enterprise concepts of Information Retrieval Evaluation and relevance metrics Applications and outlook ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/66/273/309/3662733099_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multimedia Information Retrieval|Matthias Hemmje

Multimedia Information Retrieval : Extracting Information from Multimedia Sources

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Overview

The digital acquisition of information - known as Information Retrieval - has gained enormous importance in recent decades. Due to modern technologies and the spread of multimedia content, the focus is shifting more and more toward Multimedia Information Retrieval (MMIR). This well-founded and comprehensive textbook conveys the fundamentals and formal concepts of MMIR and connects them in a practical way with current developments from research and technology. Both the classical models of MMIR and modern, AI-based methods are presented. The book is aimed at computer science students as well as teachers and professionals in the field of software development who deal with topics such as multimedia, information processing, or user interaction.

The Content

  • Information and knowledge
  • Features and feature representation
  • Information Retrieval
  • Enterprise concepts of Information Retrieval
  • Evaluation and relevance metrics
  • Applications and outlook

This item is Non-Returnable

Details

  • ISBN-13: 9783662733097
  • ISBN-10: 3662733099
  • Publisher: Springer
  • Publish Date: May 2026
  • Page Count: 278

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