With the explosion of video and image data available on the Internet, online multimedia applications become more and more important. Moreover, mining semantics and other useful information from large-scale Internet multimedia data to facilitate online and local multimedia content analysis, search and other related applications has also gained more and more attention from both academia and industry. On the one hand, the rapid increase of online multimedia data brings new challenges to multimedia content analysis, multimedia retrieval and related multimedia applications, especially in scalability. Both computation cost and performance of many existing techniques are far from satisfactory. On the other hand, Internet also provides us with new opportunities to attack these challenges as well as conventional problems encountered in multimedia mining, content analysis, image/video understanding and computer vision. That is, the massive associated metadata, context and social information available on the Internet, as well as the massive grassroots Internet users, are invaluable resources that can be leveraged to solve the aforementioned difficulties. Recently more and more researchers are realizing both the challenges and the opportunities for multimedia research brought by the Internet. This workshop aims at bringing together high-quality and novel research works on "Internet Multimedia Mining".

One of the major obstacles of "Internet Multimedia Mining" research is the difficulty in forming a "good" dataset for algorithm developing, system prototyping and performance evaluation. Together with this workshop, we release a benchmark dataset, which is based on real Internet multimedia data and real Internet multimedia search engines. Submissions to this workshop are encouraged to use this dataset, but papers/demos working on other Internet-based datasets are also welcome.