TSMC 2019 - International Workshop on Time-sequenced Multimedia Computing

Organizers
Wei Li (weili-fudan-AT-fudan.edu.cn), Fudan University
Mengyao Zhu (zhumengyao-AT-shu.edu.cn), Shanghai University
Bing-Kun Bao (bingkunbao-AT-njupt.edu.cn), Nanjing University of Posts and Telecommunications, Nanjing, China
Min Xu (min.xu-AT-uts.edu.au), University of Technology Sydney, Australia
Xi Shao (shaoxi-AT-njupt.edu.cn), Nanjing University of Posts and Telecommunications, Nanjing, China
Description
Time-sequenced media, such as video, audio, music, exist everywhere in our daily lives. As an important portion of multimedia, it is more vivid and comprehensive than other static media. However, it is still difficult process and analyze this kind of media, especially due to its unstructured nature and vast impact. Recently, we have seen the breakthroughs that deep learning was bringing in many fields which were difficult to solve before. One such field that deep learning has a potential to help solving is time-sequenced multimedia processing. In addition, deep reinforcement learning methods have been used for human-machine interaction. This workshop seeks innovative papers that exploit novel technologies and solutions from both industry and academia on highly effective and efficient time-sequenced multimedia computing and processing.
Scope and Topics
This workshop of ICME 2019 invites original and high quality workshop paper relating to all topics of time-sequenced multimedia computing and processing. The list of possible topics includes, but not limited to:
Time-sequenced multimedia retrieval
Time-sequenced multimedia fusion methods
Time-sequenced multimedia content analysis
Time-sequenced multimedia applications
Time-sequenced multimedia representation and processing
Time-sequenced multimedia mining
Time-sequenced multimedia indexing
Time-sequenced multimedia annotation and recommendation
Time-sequenced multimedia abstraction and summarization