Recuperação de Imagens na Web com Fusão Adaptativa de Credibilidade Baseada em Algoritmos Genéticos

Credibility information gives an indication of which users are most likely to share relevant images on social network feeds and consequently may help estimating the relevance of an image for retrieval purposes. Considering multiple credibilty evidences has be shown as an effective method for image ranking. In order to select and combine multiple credibility descriptors, this work proposes a genetic algorithm-based automatic context-adaptive weight adjustment model. The experimental results show promising effectiveness when compared to the baseline.