CALL FOR FULL PAPERS

ICMR-2016 is seeking high quality and original papers that address novel problems and explore innovative technical approaches for multimedia retrieval that are of interest to a broad community of multimedia scientists, engineers, practitioners, and students. Of particular interest are contributions that investigate multimedia retrieval in practice including challenges related scale, effectiveness, efficiency, multi-modal integration, user interfaces and multimedia retrieval deployment across a range of industries.


We particularly welcome contributions on the following topics:

Multimedia content extraction, analysis and indexing

Multimedia content-based search and retrieval

Multimedia semantic modeling, taxonomies, ontologies, facets

Multi-modal integration (audio, visual, text, metadata)

Multimedia machine learning, deep learning, neural nets

Relevance feedback, active learning and transfer learning

Audio-visual feature design and evaluation

Multimedia retrieval metrics, data sets and evaluation

Social media, crowdsourcing and tagging

Large-scale multimedia indexing and search

Multimedia analysis/search acceleration: GPU, FPGA, etc.

Solutions: video repositories, smart albums, media sharing, media personalization, content management

Industry applications: medicine, retail, travel, media and entertainment, Web, advertising, fashion, security