Patent US6959099B2 successfully refreshed from Google Patents.
US6959099B2
Expired / Lapsed
US
⏱️ 0.0 years remaining
Method and apparatus for automatic face blurring
Assignee: Koninklijke Philips NV
•
Filing: 2001-12-06
•
Granted: 2005-10-25
•
Expires: 2021-12-06
Abstract
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.
Inventors
- 👤 Srinivas Gutta
- 👤 Miroslav Trajkovic
- 👤 Antonio J. Colmenarez
- 👤 Vasanth Philomin
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 11:14
CPC Classifications
G; G06; G06T; G06T5/00; G06T5/70; G06T7/00; G06T7/40; G06V; G06V40/00; G06V40/10; G06V40/16; G06V40/161; G06T2207/00; G06T2207/10; G06T2207/10016; G06T2207/30; G06T2207/30196; G06T2207/30201
Claims Analysis
Total Claims: 15
Claim 1
Independent Claim
133 words
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.
Claim 2
Independent Claim
133 words
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.
Claim 3
Dependent Claim
99 words
The method as claimed in claim 1 , wherein the method further comprises the step of: storing face information identifying at least one relevant face, wherein the at least one face comprises a plurality of faces, wherein the step of analyzing further comprises the step of identifying at least one relevant face from the plurality of faces by comparing face information of said determined at least one face with said stored face information, and wherein the step of blurring further comprises blurring a region of the image containing at least a portion of the at least one relevant face.
Claim 4
Dependent Claim
47 words
The method as claimed in claim 1 , wherein: the step of blurring further comprises the step of blurring a region of each of the images when the audio corresponds to a relevant person, each of the regions comprising a face that corresponds to the relevant person.
Claim 5
Dependent Claim
35 words
The method as claimed in claim 1 , wherein a particular region comprises a face, and wherein the step of blurring further comprises blurring a portion of the region where the entire face is blurred.
Claim 6
Dependent Claim
30 words
The method as claimed in claim 1 , wherein the step of analyzing further comprises the step of determining, for each face in the image, a location of the face.
Claim 7
Dependent Claim
26 words
The method as claimed in claim 5 , wherein the step of determining a location further comprises the step of determining, for each location, an area.
Claim 8
Dependent Claim
14 words
The method as claimed in claim 6 , wherein each area comprises a shape.
Claim 9
Dependent Claim
61 words
The method as claimed in claim 1 , wherein: the at least one face comprises a plurality of faces; the step of analyzing further comprises the step of identifying regions in the image wherein the plurality of faces exist; and the step of blurring further comprises blurring each of the regions so that each of the plurality of faces is blurred.
Claim 10
Independent Claim
141 words
A system for automatically blurring faces, said system comprising: 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.
Claim 11
Independent Claim
141 words
A system for automatically blurring faces, said system comprising: 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.
Claim 12
Dependent Claim
23 words
The system as claimed in claim 9 , wherein the at least one specified human body feature comprises a portion of a face.
Claim 13
Dependent Claim
20 words
The system as claimed in claim 9 , wherein the at least one specified human body feature comprises human skin.
Claim 14
Dependent Claim
149 words
An article of manufacture comprising: 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.
Claim 15
Dependent Claim
149 words
An article of manufacture comprising: 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.
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2008-10-24 | 2009-04-25 | 2009-10-25 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2012-10-24 | 2013-04-25 | 2013-10-25 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2016-10-24 | 2017-04-25 | 2017-10-25 | $7700.00 | Window Closed / Lapsed |