Image processing method and device

An image processing and processor technology, applied in the field of image processing, can solve the problems of irregular non-structural sparsity, affecting the execution time of video objects, etc.

Active Publication Date: 2019-07-05
HUAWEI TECH CO LTD +1
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  • Claims
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AI Technical Summary

Problems solved by technology

The threshold-based pruning of this method will produce irregular non-structural sparsity, which is difficult to be converted into a reduction in the execution time of the deep neural network, which affects the execution time of video object detection

Method used

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  • Image processing method and device
  • Image processing method and device
  • Image processing method and device

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Embodiment Construction

[0042] The nouns involved in the embodiments of the present application will be explained below:

[0043] The original image is any one of multiple frames of images obtained after decoding and decomposing the input video, and the multiple frames of images are continuous in time. It can be understood that the original image is an image before background segmentation and compression processing. The image format of the original image is the original image format.

[0044] The foreground image is obtained by segmenting the foreground area and the background area of ​​the original image by using the background modeling method, which retains the information related to object detection in the original image and removes the background information. For example, if the original image is a road traffic monitoring image, then the foreground image may include pedestrians, motor vehicles, non-motor vehicles, and the like.

[0045] The background image is obtained by segmenting the foregro...

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Abstract

The embodiment of the invention provides an image processing method and device. The method comprises the following steps: converting a foreground image corresponding to an original image into a compressed image; estimating a first extraction time required for carrying out depth feature extraction by adopting the original image and a second extraction time required for carrying out depth feature extraction by adopting the compressed image; and according to the first extraction time and the second extraction time, determining to adopt the original image to carry out depth feature extraction or adopting the compressed image to carry out depth feature extraction. By adopting the embodiment of the invention, the calculated amount of the image depth feature extraction process can be effectivelyreduced, so that the execution time of video object detection is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and in particular to an image processing method and device thereof. Background technique [0002] Deep learning is a new field in machine learning research. Its motivation is to establish and simulate the neural network of human brain for analysis and learning. It imitates the mechanism of human brain to explain data, such as images, sounds and texts. With the rapid development of artificial intelligence technology represented by deep learning, deep learning technology has begun to be used in scenarios such as image classification and object detection in real environments. Object detection refers to determining the location of all objects contained in a given image and providing the category of each object. Video-based object detection and recognition technology has a wide range of application scenarios. For example, vehicle recognition in traffic surveillanc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/42G06N3/08G06K9/46G06K9/00
CPCH04N19/42G06N3/08G06V20/46G06V20/40G06V10/40G06F18/00
Inventor 董晓卢兴敬刘雷
Owner HUAWEI TECH CO LTD
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