Multimedia Information Extraction PDF ePub eBook

Books Info:

Multimedia Information Extraction free pdf The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains. This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers.

About Mark T. Maybury

MARK T. MAYBURY, PhD , is an Executive Director at MITRE, a federally funded research and development center. In 2010, Dr. Maybury took a leave of absence from MITRE when appointed to the role of Chief Scientist of the United States Air Force. He is a former member of the board of directors of the Object Management Group and the Air Force Scientific Advisory Board. An IEEE Fellow, Dr. Maybury is a member of the ACM Intelligent User Interface Steering Committee and has served on the Advanced Visual Interfaces Program Committee for over ten years. He holds several patents and has edited, coedited, or coauthored a number of books on information retrieval and related topics.

Details Book

Author : Mark T. Maybury
Publisher : John Wiley
Data Published : 24 August 2012
ISBN : 1118219546
EAN : 9781118219546
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 496 pages
Age + : 15 years
Language : English
Rating :

Reviews Multimedia Information Extraction



17 Comments Add a comment




Related eBooks Download


  • Multimedia Information Extraction free pdfMultimedia Information Extraction

    The advent of increasingly large consumer collections of audio (e.g.. iTunes). imagery (e.g.. Flickr). and video (e.g.. YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media..


  • Multimedia Information Extraction free pdfMultimedia Information Extraction

    The advent of increasingly large consumer collections of audio (e.g.. iTunes). imagery (e.g.. Flickr). and video (e.g.. YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media..


  • Media Production, Delivery and Interaction for Platform Independent Systems free pdfMedia Production, Delivery and Interaction for Platform Independent Systems

    Presents current trends and potential future developments by leading researchers in immersive media production. delivery. rendering and interaction

    The underlying audio and video processing technology that is discussed in the book relates to areas such as 3D object extraction..


  • Multi-Source, Multilingual Information Extraction and Summarization free pdfMulti-Source, Multilingual Information Extraction and Summarization

    Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form..


  • Multi-Source, Multilingual Information Extraction and Summarization free pdfMulti-Source, Multilingual Information Extraction and Summarization

    Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form..


  • Multimedia Information Extraction free pdfMultimedia Information Extraction

    . The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also informat