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Video coding method and device allowing human face to be recognized

A video encoding and encoding technology, which is applied in the field of video encoding methods and devices for face recognition, can solve problems that take a long time and affect the efficiency of encoding, face detection algorithm efficiency, and impact effects, and achieve low resolution and fast Calculation speed and the effect of shortening the calculation time

Inactive Publication Date: 2014-07-02
SHENZHEN INFINOVA
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the encoding process is carried out for the original video data. Since the resolution of the original video is very high, the process of intelligent encoding takes a long time, which affects the efficiency of encoding and the efficiency of the face detection algorithm. If the original video data is For high-definition images (720P / 1080P / 4K), the effect is more obvious

Method used

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  • Video coding method and device allowing human face to be recognized
  • Video coding method and device allowing human face to be recognized
  • Video coding method and device allowing human face to be recognized

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no. 1 approach

[0030] see figure 1 The first embodiment of the present invention, a video coding method capable of recognizing human faces, comprising steps:

[0031] S1, converting the signal collected by the image sensor into YUV data;

[0032] S2. The YUV data are sent to the first buffer and the second buffer respectively, the YUV data sent into the first buffer is the first data with the original resolution, and the YUV data sent into the second buffer is the resolution the compressed second data;

[0033] S3. Execute a face detection algorithm on the second data to obtain area information of macroblocks conforming to face features, where the area information includes pixel coordinates and area size of the area where the face features are located;

[0034] S4. Encode the first data, and increase the coding rate of the macroblocks in the corresponding area in the first data according to the area information.

[0035] The beneficial effect of this embodiment is that, compared with the ...

no. 2 approach

[0045] see figure 2 The second embodiment of the present invention is a video encoding device capable of recognizing faces, including an image processor 10 , a transmission unit 20 , a face detection unit 30 and an encoding unit 40 .

[0046] The image processor 10 is used to convert the signal collected by the image sensor into YUV data.

[0047] The transmission unit 20 is used to send the YUV data to the first buffer and the second buffer respectively, the YUV data sent to the first buffer is the first data with original resolution, and sent to the second buffer The YUV data is the second data that is compressed for resolution.

[0048] The face detection unit 30 is configured to execute a face detection algorithm on the second data to obtain area information of macroblocks conforming to face features, and the area information includes pixel coordinates and area size of the area where the face features are located.

[0049] The encoding unit 40 is configured to encode the ...

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Abstract

The invention relates to the field of coding of images of field camera shooting equipment, and provides a video coding method allowing a human face to be recognized. The video coding method comprises the steps that signals collected by an image sensor are converted into YUV data; the YUV data are transmitted to a first cache and a second cache respectively, the YUV data fed into the first cache are first data with an original resolution ratio, and the YUV data fed into the second cache are second data with a compressed resolution ratio; a human face detecting algorithm is executed on the second data, and regional information of a macro block meeting human face characteristics is obtained; the first data are coded, and the coding rate of a macro block of a corresponding region in the first data is improved according to the regional information. The invention further provides a video coding device allowing the human face to be recognized. The video coding method and device allowing the human face to be recognized have the advantages that due to the that that the resolution ratio of the second data is low, a higher operating rate is achieved when the human detecting algorithm is executed, and operation consumed time is shortened significantly.

Description

technical field [0001] The invention relates to the field of image coding of camera equipment, in particular to a video coding method and device capable of recognizing human faces. Background technique [0002] Many surveillance scenarios require intelligent recognition functions, such as face recognition based on face detection technology. Face detection is based on the Adaboost algorithm, using the waterfall model. In the algorithm, the area of ​​the scanned image has a strong classifier and multiple weak classifiers. The strong classifier is composed of this series of weak classifiers. Each weak classifier contains The image data of a specific area is collected, and then it is analyzed whether there are human face features (eyes, mouth, nose, forehead, eyebrows, etc.) in the image. If the above-mentioned features exist, then these classifiers with human face features are combined. If the combined features conform to the characteristics of the human face, then it is deter...

Claims

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Application Information

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IPC IPC(8): H04N19/17G06K9/00G06T9/00
Inventor 蒋承昌余灵先彭明明夏永奇
Owner SHENZHEN INFINOVA
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