Title :
Knowledge discovery over community-sharing media: From signal to intelligence
Author :
Hsu, Winston ; Mei, Tao ; Yan, Rong
Author_Institution :
Nat. Taiwan Univ., Taipei, Taiwan
fDate :
June 28 2009-July 3 2009
Abstract :
The explosive growth of photos/videos and the advent of media-sharing services have drastically increased the volume of user-contributed multimedia resources, which bring profound social impacts to the society and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation. Besides plain visual or audio signals, such large-scale media are augmented with rich context such as user-provided tags, geo-locations, time, device metadata, and so on, benefiting a wide variety of potential applications such as annotation, automatic training data acquisition, contextual advertising, and visualization. We review the research advances for enabling such applications and present a brief outlook on open issues and major opportunities.
Keywords :
data mining; multimedia systems; social networking (online); community-sharing media; knowledge discovery; large-scale media; media-sharing services; mining methods; search methods; user-contributed multimedia resources; visualization methods; Advertising; Asia; Data visualization; Electrostatic precipitators; Explosives; Humans; Large-scale systems; Signal design; Tagging; Videos; machine learning; multimedia advertising; multimedia annotation; multimedia search; social media; survey; visualization;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202775