Gabriel Barbosa da Fonseca

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The rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery in the absence of prior identity knowledge requires accurate association of audio-visual cues and detected names. To this end, we present 3(More)
The indexing of broadcast TV archives is a current problem in multimedia research. As the size of these databases grows continuously, meaningful features are needed to describe and connect their elements efficiently, such as the identification of speaking faces. In this context, this paper focuses on two approaches for unsupervised person discovery. Initial(More)
The amount of applications using unstructured data, like videos, has been increased, and the researches concerning multimedia retrieval have attracted great attention. The need to efficiently index and retrieve this kind of data is of great concern, due to the fact that common searching approaches based on the use of keywords are not adequate for large(More)
A social network consists on a finite set of social entities and the relationships between them. These entities are represented as vertices in a graph which represents this network. Usually, the entities (or vertices) can be classified according to their features, like interactions (comments, posts, likes, etc.) for example. However, to work directly with(More)
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