Image set classification method based on aggregation hash learning

A classification method and image set technology, applied in the field of image set classification based on aggregated hash learning, can solve the problems of difficult instance similarity, affecting the classification accuracy of image sets, and not taking into account image set set information well.

Active Publication Date: 2022-06-07
SICHUAN UNIV
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Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides an image set classification method based on aggregated hash learning to solve the problem that the existing hash learning method does not consider

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  • Image set classification method based on aggregation hash learning
  • Image set classification method based on aggregation hash learning
  • Image set classification method based on aggregation hash learning

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Embodiment Construction

[0054] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0055] like figure 1 As shown, an image set classification method based on aggregated hash learning includes the following steps:

[0056] S1. According to the training image set, establish a hash aggregation model;

[0057] The training image set consists of one or more training subsets of images from each class used for training, and each image training subset consists of different images belonging to the same class.

[0058] Step S1 i...

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Abstract

The invention discloses an image set classification method based on aggregation hash learning, and the method comprises the following steps: S1, building a hash aggregation model according to a training image set; s2, training the Hash aggregation model to obtain a trained linear Hash function and an instance Hash code matrix of a training image set; s3, according to the trained linear hash function, calculating a hash code of an instance of the to-be-classified image set; s4, obtaining the category of the to-be-classified image set according to the distance between the hash code of the instance of the to-be-classified image set and the instance hash code matrix of the training image set; the method solves the problems that the existing hash learning method does not well consider the set information of the image set, it is difficult to keep the similarity of examples in the Hamming space, it is difficult to obtain high-quality example hash codes, and then the classification precision of the image set is affected.

Description

technical field [0001] The invention relates to the technical field of image classification, in particular to an image set classification method based on aggregated hash learning. Background technique [0002] Over the years, with the rapid development of multimedia technology, image set classification has been widely used in a large number of real-world applications, such as object classification, video-based face recognition. Compared with traditional single-shot image-based classification tasks, image set classification pays more attention to the generality of the set and the complementarity of samples, which can provide richer information to describe the corresponding topics. The interest in image set classification has been steadily growing in the research community as image set classification can provide more promising performance to overcome the appearance variations of images (e.g. appearance, occlusion, lighting, expression, pose). However, how to deal with extreme...

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Application Information

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IPC IPC(8): G06V10/74G06V10/774G06V10/764G06K9/62
CPCG06F18/22G06F18/24G06F18/214
Inventor 黄海啸孙元胡鹏王旭
Owner SICHUAN UNIV
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