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Article Dans Une Revue Electronic Letters on Computer Vision and Image Analysis Année : 2015

Image database indexing: Emotional impact assessing

Syntyche Gbehounou
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François Lecellier

Résumé

The goal of this work was to propose an efficient approach for emot ional impact recognition based on CBIR techniques (descriptors, image representation). The main idea relies in classifying images according to their emotion which can be ”Negative”, ”Neutral” or ”Positive”. E motion is related to the image content and also to the personal feelings. To achieve our goal we firstly need a correct assessed image database. Our first contribution is about this aspect. We proposed a set of 350 di versifed images rated by people around the world. Added to our choice to use CBIR methods, we studied the impact of visual saliency for the subjective evaluations and interest region segmentation for classific ation. The results are really interesting and prove that the CBIR methods are useful for emotion recognition. The cho sen desciptors are complementary and their performance is consistent on the database we have built and o n IAPS, reference database for the analysis of the image emotional impact
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Dates et versions

hal-01280294 , version 1 (29-02-2016)

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  • HAL Id : hal-01280294 , version 1

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Syntyche Gbehounou, François Lecellier, Christine Fernandez-Maloigne. Image database indexing: Emotional impact assessing. Electronic Letters on Computer Vision and Image Analysis, 2015, 14 (3). ⟨hal-01280294⟩
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