Abstract
Quality specified image retrieval is helpful to improve the user experiences in mobile searching and social media sharing. However, the model for evaluating the quality of the user generated images, which are popular in social media sharing, remains unexploited. In this paper, we propose a scheme for quality assessment on user generated image. The scheme is formed by four attribute dimensions, including intrinsic quality, favorability, relevancy and accessibility of images. Each of the dimensions is defined and modeled to pool a final quality score of a user generated image. The proposed scheme can reveal the quality of user generated image in comprehensive manner. Experimental results show that the scores obtained by our scheme have high correlation coefficients with the benchmark data. Therefore, our scheme is suitable for quality specified image retrieval on mobile applications.
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Liu, Q., Yang, Y., Wang, X., Cao, L. (2013). Quality Assessment on User Generated Image for Mobile Search Application. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_1
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DOI: https://doi.org/10.1007/978-3-642-35728-2_1
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