Image retrieval method based on sketch

An image retrieval and sketching technology, applied in the field of image retrieval and computer vision, can solve the problems that keywords cannot accurately describe the user's retrieval intention, affect image retrieval performance, lack of training data, etc., achieve good retrieval effect, improve effect, The effect of bridging the cross-domain gap
CN108733749AInactive Publication Date: 2018-11-02TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TIANJIN UNIV
Publication Date
2018-11-02
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an image retrieval method based on a sketch. According to the method, domain migration learning from an image domain to a sketch domain is realized, and a network can output effective features which are adaptive to the sketch domain and have the distinguishing performance. The method comprises the following steps of extracting a Canny edge of an image to serve as network training data; carrying out network pre-training based on millions of images of ImageNet; sending the Canny edge of the image to the network for training, and realizing domain migration learning; sending the sketch and the Canny edge of the image to the trained network, and extracting the features respectively; and computing cosine distances between the extracted features and sorting, and realizingK nearest neighbor retrieval. According to the method, the defects of sketch data of the network in a training process are fully compensated, the effect of sketch training is improved, a cross-domaindifference between the sketch and the image is reduced, and a good retrieval effect is achieved.
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Description

technical field

[0001] The invention relates to the technical fields of image retrieval and computer vision, in particular to an image retrieval method based on a sketch. Background technique

[0002] With the rapid increase of Internet media image data, efficient and accurate image retrieval technology has become an urgent need. The early text-based retrieval methods have shortcomings such as relying on manual annotation and ambiguity, and cannot be applied to large-scale image retrieval. Therefore, content-based image retrieval has become a research hotspot. In content-based image retrieval, sketch-based retrieval can express user intention more conveniently and intuitively, and has received extensive attention. With the popularization of touch-screen devices, it is more and more convenient to draw hand-drawn sketches. Hand-drawn sketches can accurately express users' retrieval intentions. Therefore, image retrieval based on sketches has very important research significa...

Claims

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