Scientific article

Special Section on Multimodal Understanding of Social, Affective, and Subjective Attributes

Publication date2019

Multimedia scientists have largely focused their research on the recognition of tangible properties of data such as objects and scenes. Recently, the field has started evolving toward the modeling of more complex properties. For example, the understanding of social, affective, and subjective attributes of visual data has attracted the attention of many research teams at the crossroads of computer vision, multimedia, and social sciences. These intangible attributes include, for example, visual beauty, video popularity, or user behavior. Multiple, diverse challenges arise when modeling such properties from multimedia data. The sections concern technical aspects such as reliable groundtruth collection, the effective learning of subjective properties, or the impact of context in subjective perception; see Refs. [2] and [3].

  • Subjective attributes
  • Multimodal data
Citation (ISO format)
ALAMEDA-PINEDA, Xavier et al. Special Section on Multimodal Understanding of Social, Affective, and Subjective Attributes. In: ACM Transactions on Multimedia Computing, Communications, and Applications, 2019, vol. 15, n° 11, p. 1–3. doi: 10.1145/3292061
Main files (1)
Article (Published version)
ISSN of the journal1551-6857

Technical informations

Creation06/12/2019 5:35:00 PM
First validation06/12/2019 5:35:00 PM
Update time03/15/2023 5:25:44 PM
Status update03/15/2023 5:25:44 PM
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