Knowledge discovery over community-sharing media: From signal to intelligence

The explosive growth of photos/videos and the advent of mediasharing services have drastically increased the volume of usercontributed 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, geolocations, 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.

• Type: Journal
• Year: 2009
• Where: ICMCS
• Authors: Winston H. Hsu, Tao Mei, Rong Yan
• Keywords: ICMCS 2009, Multimedia, Profound Social Impacts, Training Data Acquisition, Visualization Methods