MMDA 2016 - International Workshop on multimodal media data analytics

MMDA welcomes novel research works that deal with web content extraction, concept and event based indexing, semantic integration and retrieval, as well as multimodal fusion, content summarisation and visual analytics.
The goal of MMDA workshop is threefold. First, the workshop aims at presenting the most recent methods for the extraction, interpretation, retrieval, fusion, aggregation, summarisation and visualization of news content. Second, it aims at bringing together practitioners and researchers, both from multimodal analytics and media industry domains, to share ideas and experiences in designing and implementing novel multimedia and multilingual analysis and retrieval techniques and tools for journalistic and media monitoring applications.
Research topics of interest for this workshop include, but are not limited to:
Multimedia indexing and retrieval
Multilingual content extraction
Concept extraction from multilingual text and multimedia
Speech recognition
Person identification in audiovisual content
Content-based video segmentation
Machine translation of media content
Sentiment analysis and opinion mining
Social media analytics
Contributor and influencer analysis in social media
Context representation and extraction approaches
Semantic content modelling and integration
Multimedia topic and event detection
Semantic reasoning for media content applications
Intelligent decision support services based on media content
Multilingual summarisation of media content
Visualisation and interactive interfaces for news
Multimodal content fusion and retrieval
Clustering and classification of multimedia
Web crawling and scraping
Intelligent application for media management and retrieval