Multimedia information retrieval in big data using OpenCV python
Pages 25 - 27
Abstract
The popularization of systems, applications and devices to produce, view and share multimedia, saw the need to treat a large volume of data arise. In related areas (such as Multimedia Big Data, Data Science and Multimedia Information Retrieval) a key step is commonly referred as Multimedia Indexing or Multimedia Big Data Analysis, where the aim is to represent multimedia content into smaller, more manageable units, allowing the extraction of data features and information essential to the proper performance of the associated services. This mini-course discusses current tools and techniques for indexing, extracting and processing of multimodal multimedia content. The techniques are exemplified in Python OpenCV over different content (like images, audio, text and video), leading to the interest of services like Netflix, Google and YouTube on this subject, attracting the interest of researchers and developers.
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Published In
October 2019
537 pages
ISBN:9781450367639
DOI:10.1145/3323503
Copyright © 2019 Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 October 2019
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WebMedia '19
WebMedia '19: Brazilian Symposium on Multimedia and the Web
October 29 - November 1, 2019
Rio de Janeiro, Brazil
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Overall Acceptance Rate 270 of 873 submissions, 31%
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