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In the past few years, automatically generating descriptions for images has attracted a lot of attention in computer vision and natural language processing research. Among the existing approaches, data-driven methods have been proven to be highly effective. These methods compare the given image against a large set of training images to determine a set of relevant images, then generate a description...
Automatic image captioning, the process of producing a description for an image, is a very challenging problem which has only recently received interest from the computer vision and natural language processing communities. In this study, we present a novel data-driven image captioning strategy which, for a given image, finds the most visually similar image in a large dataset of image-caption pairs...
In this study, a new method is proposed for recognizing actions from still images with general content. High increase in the number of action images in recent years bring about the need for indexing and large-scale visual search for these images. Although some previous researches mainly worked on body pose estimation, it is still challenging to estimate body pose from daily activity images like interacting...
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