Heterogeneous Knowledge Learning for Multimedia Analytics
When : N/A
Where : N/A
Submission Deadline : 2016-10-15
Categories : Multimedia, Computer Graphics & Animation , Machine Learning
SI-HKLMA 2016 : Heterogeneous Knowledge Learning for Multimedia Analytics
December 1, 2017
International Journal Information Processing & Management
Call For Papers
Living in the era of data deluge, we have witnessed a drastic growth of heterogeneous data involved in multimedia content analytics. The heterogeneous data exhibits a rich and complex set of cross-media contents, such as text, image, video, audio, and graphics. Consequently, it has aroused new challenges in developing effective methodologies to meet the heterogeneous computing requirement. The hybrid data come from multiple sources and hence are hybrid in different feature spaces. It is mandatory to pay more attention to the entire cycle of heterogeneous data processing, including data acquisition, retrieval, feature representation, knowledge discovery, and semantic modeling.
This special issue serves as a forum to bring together active researchers all over the world to share their recent advances in this exciting area. We solicit original contributions in three-fold:
Topics of Interest
- Large-scale heterogeneous information fusion
- Domain adaption learning over heterogeneous data
- Machine learning methods for multimedia understanding
- Heterogeneous big data organization, retrieval, and indexing
- Deep Learning for multimedia data analysis
- Multimedia question-answering with heterogeneous data
- Learning methods to bridge the semantic gap among media types
- Health, economics and other applications over heterogeneous data
- Real-world applications based on multimedia analysis
- Novel dataset and benchmark for heterogeneous knowledge learning
- Survey papers regarding the topics of heterogeneous knowledge learning
IMPORTANT DATES
User Name : jerish
Posted 25-07-2016 on 10:20:21 AEDT