MMSP 2015 - 2015 IEEE International Workshop on Multimedia Signal Processing

MMSP 2015 is the 17th International Workshop on Multimedia Signal Processing. The workshop is organized by the Multimedia Signal Processing Technical Committee of the IEEE Signal Processing Society. This year’s event has a Heterogeneous Big Data Analytics in Multimedia theme. The workshop will bring together researchers and developers in multimedia signal processing and applications to share their latest achievements and explore future directions and synergies in these exciting areas.
Papers are solicited in (but not limited to) the following topics, covering this year’s theme and the general scope of multimedia signal processing:
Theories and applications for heterogeneous big media data analytics
Semantic extraction and knowledge mining from heterogeneous big media data
Massive-scale media detection and recognition
Content-based analysis, retrieval and annotation for big media data
Feature learning for heterogeneous big media data representation
Multimedia security, forensic, privacy for big data
Multimedia quality assessment and enhancement
Affective computing and cross-media sentiment analysis
Media algorithm optimization and complexity analysis
Multimedia in economics, finance, business analytics
Multimedia signals in geomatics
Image/video coding and processing
Speech/audio recognition and processing
Multimedia communications and interactions
Top 10% Paper Award
This award is granted to as many as 10% of the total paper submissions, and is open to all accepted papers. Papers will be evaluated based on originality, technical contribution, and presentation quality during the workshop.
Paper submission
Prospective authors should submit full-length papers of 6 pages in two-column IEEE format, including author affiliation and address, figures, tables and references, to the CMS website. Only electronic submissions are accepted. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted.