Method and apparatus for automatic face blurring
First Claim
1. A method for automatically blurring faces, said method comprising the steps of:
- storing voice information of at least one relevant person;
analyzing an image to determine at least one face in the image, the image being one image in a series of images from a video;
determining if sound in audio corresponding to the video can be assigned to a relevant person by comparing information in the sound with the stored voice information; and
blurring at least one region of the image containing at least a portion of the at least one face, said blurring step comprising blurring regions of each of the images when the audio corresponds to a relevant person, each of the regions comprising one of the at least one faces, such that all faces in the images are blurred.
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Abstract
An image processing system is disclosed that provides automatic face or skin blurring for images. All faces or skin can be blurred, or specific faces can be blurred. In one aspect of the invention, a particular face is blurred on an image or on a series of images in a video. Faces are determined in an image, and face matching is performed to match a particular face to faces in the image. If a match is found, the face or a portion of the face is blurred in the image. The blurring is performed on a portion of the image containing the particular face. Blurring may be performed through a variety of techniques. In another aspect of the invention, voice processing is used as an adjunct to or in place of face analysis to determine if a face in an image or series of images should be blurred. In another aspect of the invention, all faces or human skin in an image or series of images is blurred.
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Citations
12 Claims
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1. A method for automatically blurring faces, said method comprising the steps of:
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storing voice information of at least one relevant person;
analyzing an image to determine at least one face in the image, the image being one image in a series of images from a video;
determining if sound in audio corresponding to the video can be assigned to a relevant person by comparing information in the sound with the stored voice information; and
blurring at least one region of the image containing at least a portion of the at least one face, said blurring step comprising blurring regions of each of the images when the audio corresponds to a relevant person, each of the regions comprising one of the at least one faces, such that all faces in the images are blurred. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for automatically blurring faces, said system comprising:
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an input for receiving an image in a series of images from a video;
a first memory for storing computer-readable code;
a second memory for storing voice information of at least one relevant person; and
a processor operatively coupled to said first and second memories, said processor configured to implement said computer-readable code, said computer-readable code causing said processor;
analyze said image to determine at least one specified human body feature in the image;
determine if sound in audio corresponding to the video can be assigned to a relevant person by comparing information in the sound with the stored voice information; and
blur at least one region of the image containing at least a portion of the at least one specified human body feature when the audio corresponds to a relevant person. - View Dependent Claims (10, 11)
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12. An article of manufacture comprising:
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a computer-readable medium having computer readable code means embodied thereon, said computer-readable program code means causing a processor to perform the steps of;
storing voice information of at least one relevant person;
analyzing an image to determine at least one face in the image, the image being one image in a series of images from a video;
determining if sound in audio corresponding to the video can be assigned to a relevant person by comparing information in the sound with the stored voice information; and
blurring at least one region of the image containing at least a portion of the at least one face, said blurring step comprising blurring regions of each of the images when the audio corresponds to a relevant person, each of the regions comprising one of the at least one faces, such that all faces in the images are blurred.
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Specification