Graph Representation for Face Analysis in Image Collections
Domingo Mery, Florencia Valdes

TL;DR
This paper introduces an optimal graph-based representation for analyzing social interactions in image collections, utilizing connectivity scores derived from facial cues, and provides a GUI for visual exploration of social relations.
Contribution
It presents a novel graph representation based on connectivity scores from facial features and expressions, along with a GUI for social relation analysis in image collections.
Findings
Effective analysis of social interactions in diverse image collections
Graph visualization reveals social structures and relations
Applicable to social event and online image data
Abstract
Given an image collection of a social event with a huge number of pictures, it is very useful to have tools that can be used to analyze how the individuals --that are present in the collection-- interact with each other. In this paper, we propose an optimal graph representation that is based on the `connectivity' of them. The connectivity of a pair of subjects gives a score that represents how `connected' they are. It is estimated based on co-occurrence, closeness, facial expressions, and the orientation of the head when they are looking to each other. In our proposed graph, the nodes represent the subjects of the collection, and the edges correspond to their connectivities. The location of the nodes is estimated according to their connectivity (the closer the nodes, the more connected are the subjects). Finally, we developed a graphical user interface in which we can click onto the…
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Taxonomy
TopicsFace recognition and analysis · Face and Expression Recognition · Visual Attention and Saliency Detection
