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The advent of touch panels in mobile devices has provided a good platform for mobile sketch search. However, most of the previous sketch image retrieval systems usually adopt an inverted index structure on large-scale image database, which is formidable to be operated in the limited memory of mobile devices. In this paper, we propose a novel approach to(More)
With the popularity of social media nowadays, tons of photos are uploaded everyday. To understand the image content, image classification becomes a very essential technique for plenty of applications (e.g., object detection, image caption generation). Convolutional Neural Network (CNN) has been shown as the state-of-the-art approach for image(More)
Retrieving sketches to match with a hand drawn sketch query is highly desired feature. This paper proposes a novel methodology for efficient retrieval of sketch based images. This system extracts features from the query sketch, HOG and GMM features are used and these features are combined using score level fusion which can match user drawn sketch with(More)
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