Editors: Xian-S. Hua, Marcel Worring, Tat-S. Chua

Internet Multimedia Search and Mining

eBook: US $44 Special Offer (PDF + Printed Copy): US $171
Printed Copy: US $149
Library License: US $176
ISBN: 978-1-60805-766-5 (Print)
ISBN: 978-1-60805-215-8 (Online)
Year of Publication: 2013
DOI: 10.2174/97816080521581130101


With the explosion of video and image data available on the Internet, desktops and mobile devices, multimedia search has gained immense importance. Moreover, mining semantics and other useful information from large-scale multimedia data to facilitate online and local multimedia content analysis, search, and other related applications has also gained an increasing attention from the academia and industry. The rapid increase of multimedia data has brought new challenges to multimedia content analysis and multimedia retrieval, especially in terms of scalability. While on the other hand, large-scale multimedia data has also provided new opportunities to address these challenges and other conventional problems in multimedia analysis. The massive associated metadata, context and social information available on the Internet, desktops and mobile devices, and the large number of grassroots users, are a valuable resource that could be leveraged to solve the these difficulties. This is the first reference book on the subject of internet multimedia search and mining and it will be extremely useful for graduates, researchers and working professionals in the field of information technology and multimedia content analysis.


Multimedia information started receiving serious attention only about 20 years ago. It was that time that researchers started exploring how to deal with increasing volumes of multimedia document. The rise of search and mining of multimedia information grew in parallel to text search, but was slower in the early stages. In the last decade, it has accelerated to the stage where much of the new information being created is multimedia. Research in search and mining of multimedia contents has been intensifying over the last few years. The need for this technology has become essential, rather than just desirable, due to the volumes and diversity of information being created. Several factors have contributed to this surge in the volume of information and hence urgent need for research in multimedia search and mining. The first factor is the low-cost and widespread use of Internet and intelligent mobile devices. This allows most urban users to access, search and share media contents conveniently at any time and from any location. This gives rise to the second factor which is the popularity of media sharing services and mobile media apps. People are now sharing a huge amount of multimedia contents on the social network sites, though primarily on their personal activities, but increasingly include social events, social commentaries, and informational contents such as the “howto” videos. This offers a huge repository of multimedia and social contents that permits a wide variety of knowledge to be extracted to facilitate better media search, recommendation and social analysis applications. The third factor for the surge in media research is due to the maturity and success of some media technologies for internet applications. This includes media indexing, search, duplicate detection and recommendation techniques, which are adopted in many large-scale public search engines, media social sharing sites and online shopping sites. These partial successes motivated further research in internet media applications.

As a result of the above three factors, active research has gone beyond the traditional areas of media content analysis and search, to the new topics motivated by the emergence of social media and mobile devices. These include research on social media analysis and mining, techniques for Web-scale media indexing and sharing, personalization and recommendations, as well as new user interface and interaction techniques to meet the need of social mobile media applications. These ii works are currently reported in diverse forums, such as the latest conference proceedings and journals, and are not easily accessible and comprehensible to most people. There was an urgent need to bring together this variety of research into a single complied volume.

This is therefore a long awaited eBook that addresses a comprehensive range of modern topics in search and mining of multimedia contents over the internet. It organizes both the traditional as well as social media research topics into a structure suitable for both researchers and practitioners in the field. It will be of great benefits to the community as a useful guide for latest research and practices in this exciting emerging field. To make it useful and authoritative, this collection is edited by three very active researchers in the field who are expert in different aspects of multimedia search and mining. I believe that this eBook will be very useful to researchers in the field to find all relevant information at one place and thus be a strong reference source.

Ramesh Jain
University of California
Irvine USA


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