AAM 2013 - International Workshop on Affective Analysis in Multimedia (AAM)

In recent years, there has been a dramatic proliferation of research on multimedia retrieval and indexing based on highly subjective concepts such as emotion, preference and aesthetics. These retrieval methods are considered human-centered, intuitive, and beyond the conventional keyword- or object-based retrieval paradigm. In addition, the problem is considered challenging because it requires multidisciplinary understanding of human behavior and perception as well as multimodal integration of different modalities (audio, visual, text, and metadata) for better performance.
This workshop aims to provide a forum for the presentation of state-of-the-art research results in this emerging field and to address the growing interests in multimedia affective analysis. We encourage interdisciplinary submissions and participation to provide an opportunity for researchers from different fields to exchange ideas. The workshop will focus on mechanisms capable of exploiting the full range of modalities available to automatically to estimate the affective nature of multimedia content. Topics of interest include, but are not limited to:
Affective/emotional content analysis of music, images and videos
Multimodal integration for affective content understanding
Affective multimedia indexing
Affect in content retrieval and recommendation
Affective analysis in lyrics and online blogs
Social media and sentiment analysis
Aesthetic quality assessment of multimedia
Image and video summarization based on affect
Violence and horror scene detection in videos
Implicit tagging, sensing techniques and interactive systems
Personalization and user factors
Affective benchmarking development
Cognitive/psychological perspective on affective content analysis
Affective Multimedia applications
Submission should be in ICME 2013 format and maximum 6 pages. Please, consult the ICME website for the exact formatting and template. Each submission will receive at least two reviews by expert reviewers in the field in addition to a meta review by one of the organizers. Reviews will be double-blind.