Attribute learning and interactive feedback in android platform based online image recognition and retrieval method

A technology of attribute learning and Android platform, applied in the field of image recognition based on attribute learning, to meet semantic requirements, ensure discriminative requirements, and facilitate interaction

Inactive Publication Date: 2016-12-07
JIANGSU UNIV
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AI Technical Summary

Problems solved by technology

Therefore, many methods to reduce the number of training images are developed, but all these learning methods still need some labeled training instances to detect possible test examples

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  • Attribute learning and interactive feedback in android platform based online image recognition and retrieval method
  • Attribute learning and interactive feedback in android platform based online image recognition and retrieval method

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Embodiment Construction

[0053] The invention proposes an image online recognition and retrieval method based on attribute learning and interactive feedback under the Android platform, which is divided into three layers: a user layer, a server layer and a database layer.

[0054] The user layer is an Android smart phone terminal, which is responsible for interacting with users. It realizes the user's shooting of pictures, image feature extraction and compression, server upload, retrieval attribute input, and display of recognition and retrieval results.

[0055] The server side is divided into three parts: identification module, training module, retrieval matching module. The recognition module responds to the recognition request sent by the user, the retrieval matching module responds to the user's retrieval request, the training module responds to the administrator's request for training image category templates, and the trained template is stored in the database. When the recognition module and the ...

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Abstract

The invention discloses an attribute learning and interactive feedback in android platform based online image recognition and retrieval method. The recognition part comprises the following steps: obtaining an image and extracting features of the image through an android phone; sending the features to a server; giving feedback from the server the attributes of the image; giving feedback to a user on the categories corresponding to the attribute combinations of the image for the user to confirm whether to add a to-be-recognized image into the training image database with corresponding attributes or not to enhance the recognition performance of the system. The retrieval part comprises the following steps: After the user describes the attribute list of the image to be retrieved by the mobile phone, the system presents the image corresponding to the category with the attribute combination in the image library to the user in a sorting manner for the user to choose from. Based on the choice of the user, the parameters of an attribute classifier are adjusted. The system communicates the underlying features of the image with the semantic representation of the user through the attribute medium, which has good application effect in the retrieval of relevant images through semantic description. And at the same time, high robustness can also be achieved.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to an image recognition method based on attribute learning. Background technique [0002] Image recognition is an important application of pattern recognition, and image processing and recognition technology began in the middle of the 20th century. In 1964, the US Jet Propulsion Laboratory (JPL) used computers to process a large number of moon photos sent back by the spacecraft to obtain clear and realistic images. This is an important milestone in the development of image processing technology and promoted the birth of this discipline. [0003] Current smartphone devices are still subject to some hardware limitations, such as low processing rate, small operating memory, limited system space, short standby time, etc., and common image recognition technologies often require a large amount of calculation and storage space , has high requirements on the operating hardware ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/40G06F18/214
Inventor 成科扬张忠敏
Owner JIANGSU UNIV
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