Image labeling method and device based on high-dimensional image
An image annotation and image technology, applied in the field of image processing, can solve the problems of time-consuming, laborious, manual annotation, etc.
Pending Publication Date: 2020-10-20
HUAWEI TECH CO LTD
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At present, the data sets used for deep learning model training need to be manually labeled, which is time-consuming and laborious
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[0026] For the convenience of understanding the technical solutions of the embodiments of the present application, a brief introduction of the relevant technologies of the present application is first given as follows:
[0027] 1. High-dimensional image: A digital image is a representation of a two-dimensional image with finite digital value pixels. Each pixel in a digital image usually corresponds to a specific "location" in two-dimensional space, and consists of one or more sample values associated with that point. The digital images acquired by traditional image sensors mainly include grayscale images and color images. The grayscale images are represented by a brightness value, and the color images are represented by RGB or three color component values converted to other color spaces. The high-dimensional images described in the embodiments of this application include but are not limited to multi-spectral images, hyperspectral images, multi-polarization angle images o...
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The embodiment of the invention provides an image annotation method and device based on a high-dimensional image. According to the scheme provided by the embodiment of the invention, the method comprises: obtaining a high-dimensional image and an analysis result of the high-dimensional image; and after the high-dimensional image is subjected to dimensionality reduction to form a low-dimensional image, analyzing the low-dimensional image to obtain a low-dimensional image analysis result, and then automatically cleaning and labeling the high-dimensional image and the low-dimensional image obtained through dimensionality reduction of the high-dimensional image according to the analysis result of the high-dimensional image and the analysis result of the low-dimensional image. According to theembodiment of the invention, by utilizing the advantages of the data dimension and the information amount of the high-dimensional image, the more accurate analysis result with higher confidence can beobtained, the intelligent analysis accuracy of the low-dimensional image is improved according to the analysis result of the high-dimensional image, and the accuracy of automatically labeling the image is improved by combining the analysis result of the high-dimensional image and the analysis result of the low-dimensional image.
Description
technical field [0001] The present application relates to the field of image processing, in particular to an image labeling method, device and system based on high-dimensional images. Background technique [0002] In the field of video surveillance, technologies for analyzing video content using intelligent algorithms such as target detection, tracking, identification, attribute detection, and re-identification (Re-Identification, ReID) have been widely used. With the development of semiconductor technology and the maturity of lightweight model compression, intelligent analysis models can be deployed not only on cloud servers, but also on smart terminals, such as smart cameras, smart conference terminals or mobile phones. [0003] Video intelligent analysis algorithms are mostly machine learning algorithms represented by deep learning. Since the neural network structure of the deep learning model is usually relatively complex, it is necessary to use a large number of high-q...
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IPC IPC(8): G06K9/00G06K9/32G06K9/62G06K9/34
CPCG06V20/52G06V10/26G06V10/25G06F18/214G06V10/24
Inventor 提纯利叶璟
Owner HUAWEI TECH CO LTD