Image structuring method and device

Abstract

The invention provides an image structuring method and device. The method comprises the following steps: image characteristics are extracted based on a first neutral network, and the characteristics are represented via characteristic tensors; the following operations are performed based on a second neutral network which comprises a first layer neutral network and a second layer neutral network: based on the first layer neutral network, belong types of pixels in an image are detected according to the characteristic tensors, distance between the pixels in the image and a central point of an object to which the pixels belong is calculated, and a specific object to which the pixels in the image belong is determined according to the distance; based on the second layer neutral network, attributes of the pixels are analyzed according to the characteristic tensors and the belong types of the pixels, and attributes of the specific object are determined according to the attributes of the pixels and the specific object to which the pixels belong. Via the image structuring method and device, extra errors can be prevented from being introduced during image structuring detection object determining operation and object attribute determining operation, and accuracy of image structuring analysis can be improved in a marked manner.

Description

technical field [0001] The present invention relates to the field of image processing, and more particularly relates to an image structuring method and device. Background technique [0002] With the development of communication networks, data compression and mass storage technologies, more and more multimedia information exists on the Internet in computer-readable form. They include not only common text data, but also media information such as images and videos. They generally lack semantic information, and it is difficult for information retrieval systems to search them effectively. Only effective structuring of media data can help people find interesting content faster. [0003] Image structuring is an intelligent analysis process for image content information extraction. It organizes image content into text information that can be understood by computers and humans by using time-space segmentation, feature extraction, object recognition and other processing methods accor...

AI Technical Summary

Problems solved by technology

If you use borders to analyze the attributes of pedestrians, it is easy to lose information or introduce wrong information because they are blocked by others

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