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Discovering Latent Aspects for Diversity-Induced Image Retrieval

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To provide an overview of a query object to fast target users' demands, it is important to make the retrieved results as diverse as possible. In this paper, we fuse… Click to show full abstract

To provide an overview of a query object to fast target users' demands, it is important to make the retrieved results as diverse as possible. In this paper, we fuse latent Dirichlet allocation and three text-based schemes to improve diversity of retrieved results. The experiments prove our advantages.

Keywords: diversity; diversity induced; aspects diversity; discovering latent; latent aspects; induced image

Journal Title: IEEE MultiMedia
Year Published: 2018

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