WO2009099790A2 - System and method for detecting the source of media content with application to business rules - Google Patents

System and method for detecting the source of media content with application to business rules Download PDF

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Publication number
WO2009099790A2
WO2009099790A2 PCT/US2009/032041 US2009032041W WO2009099790A2 WO 2009099790 A2 WO2009099790 A2 WO 2009099790A2 US 2009032041 W US2009032041 W US 2009032041W WO 2009099790 A2 WO2009099790 A2 WO 2009099790A2
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WO
WIPO (PCT)
Prior art keywords
content
user
owner
image
uploading
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2009/032041
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French (fr)
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WO2009099790A3 (en
Inventor
Satish Menon
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yahoo Inc
Altaba Inc
Original Assignee
Yahoo Inc
Yahoo Inc until 2017
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yahoo Inc, Yahoo Inc until 2017 filed Critical Yahoo Inc
Publication of WO2009099790A2 publication Critical patent/WO2009099790A2/en
Anticipated expiration legal-status Critical
Publication of WO2009099790A3 publication Critical patent/WO2009099790A3/en
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
    • G06F21/16—Program or content traceability, e.g. by watermarking
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/09—Recognition of logos
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10—Recognition assisted with metadata
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic

Definitions

  • This disclosure relates to determining the source of audio or video content available on a network (e.g. the Internet), and using that information to enforce copyright protection and/or business rules for that content.
  • a network e.g. the Internet
  • Websites generally build costly safeguards into their infrastructure to prevent (or minimize) copyright infringement.
  • the present disclosure provides a system and method for protecting copyright in content distributed online, in combination with specified business rules.
  • this is done by analyzing a portion of content presented for upload on a network to detect an image associated with a content owner; comparing a detected image with a set of reference images to identify the owner of the content; and applying business rules to control unauthorized uploading of the content.
  • This image may be a logo of the content owner included in the content as a digital online graphic.
  • the image may be a human face appearing in a video, with the analysis including an automated face recognition procedure.
  • the analysis is advantageously performed on a sample of video frames, or on a segment having a preselected length.
  • the comparison between the detected image and the reference images may include determining a degree of coincidence between the detected image and a reference image; if the degree of coincidence meets a predetermined criterion, a requirement for additional analysis of the image (e.g. human inspection) may be reported.
  • the application of business rules may include comparing an identifier of a user presenting the content with a set of authorized user identifiers associated with the content owner; permitting uploading of the content if the user is determined to be authorized; and disposing of the content if the user is determined to be unauthorized. If the user is unauthorized, uploading by that user may still be permitted with the user being charged a fee for subsequent access to the uploaded content.
  • a system includes a server configured to implement a method with the above-described features.
  • the system and method disclosed herein provide a simple, effective way to identify content from the content owners who provide explicit visual cues or non-visual markers so that downstream receivers of the content can use content analysis techniques to determine the form of the content and then to implement appropriate business rules.
  • FIG. 1 is a schematic diagram of a system in which a user may download copyrighted content having a logo.
  • FIG. 2 schematically illustrates a system including a logo detection and business rules engine, in accordance with an embodiment of the disclosure.
  • FIGS. 3 A and 3B illustrate logos in the form of a digital graphic and human face, respectively.
  • FIG. 4 is a flowchart showing steps in an automated method for detecting copyrighted content, in accordance with an embodiment of the disclosure.
  • FIG. 5 is a flowchart showing steps in an automated method for detecting a logo and applying relevant business rules, in accordance with an embodiment of the disclosure.
  • FIG. 6 is a flowchart illustrating an automated business process for enforcing a content owner's copyright, in accordance with another aspect of the disclosure.
  • video content includes a digital on-line graphic, which serves as a logo for the content owner. It will be appreciated, however, that professionally produced content typically has numerous features (both visual and aural) which may serve as effective identifiers for the content owner, and therefore function as a logo for the owner.
  • FIG. 1 schematically illustrates downloading of video content 1 to a user device 2 (typically a personal computer).
  • the user of the device sends a request for image content via the Internet 10.
  • the image source 11 may be a publisher or distributor of movies, TV shows, photographs or the like.
  • the image source 11 retrieves the image from a storage device 12 and makes it available for download by the user.
  • the content includes a logo 3 (typically a semi-transparent shape in the lower right corner of the display).
  • the content 1 is typically protected by copyright, so that the user is authorized to view the content but not retain a copy of it.
  • the user still is able to upload the content to a user space 17, accessible via a network 15 maintained by an online application provider such as Yahoo!®, and store the content in storage 18.
  • a network 15 maintained by an online application provider such as Yahoo!®
  • the content is sent by the user via the Internet to an ingest server 16 of the network 15.
  • the video source 11 and storage 12 may themselves be part of network 15.
  • FIG. 2 schematically illustrates an embodiment of the disclosure where the network 15 includes a logo detection and rules engine 20 for processing incoming content before that content is accepted by ingest server 16.
  • engine 20 is shown separate from ingest server 16, it will be appreciated that the two may operate on the same server hardware.
  • a library of logos is maintained in a storage device 21, for comparison with incoming video content.
  • the logo is a digital graphic or "bug"
  • the task of finding a logo is simplified by its predictable placement in a corner 24 of a video frame, as illustrated in FIG. 3A.
  • the logo detection may involve recognition of a human face 25 appearing in the frame (FIG. 3B).
  • FIG. 4 illustrates steps in a method for detecting a logo using engine 20.
  • the incoming content is fed to the network and staged (step 31).
  • the incoming content then undergoes decompression and transcoding (step 32), e.g. conversion to flash video.
  • the decompressed video, or a portion of it is then analyzed to detect a logo (step 33).
  • Content analysis techniques such as image recognition may be used to detect the presence of a logo, which may or may not be visible to a human viewer of the content. It is generally not necessary to analyze every frame of the video; the video may be sampled to yield a predetermined number of frames, or a segment of a preselected length may be broken out. For example, it is convenient to analyze a segment about 2 1 A minutes in length, to overlap the longest expected television commercial break, and thus capture at least some portion of a copyrighted program.
  • the selected frames or segments are then compared with known logos in predictable spots in each frame (step 34). If a logo is detected in the incoming video, the engine applies business rules (step 35) to determine whether the video content is to be uploaded, discarded, returned to the sender, or uploaded with fees charged to the sender, as discussed in more detail below.
  • FIG. 5 is a flowchart illustrating additional details of the logo detection and comparison process, according to an embodiment.
  • the video content is received, decompressed and analyzed using content analysis techniques (steps 401, 402).
  • the video content, or a sample thereof, may be analyzed for an on-screen graphic or for some other identifier.
  • Content analysis techniques may include face recognition, voice recognition, OCR, or detection of auxiliary information available in the content (e.g. digital cue -tones indicating broadcast advertising insertion points, or closed caption text recognition). While a logo is often a visible on-screen graphic marking the image (or video frames), automated content analysis techniques are equally effective for logos not visible to the viewer.
  • a logo is detected, it is compared with the sample logos previously provided by the content providers (artists, publishers, distributors, etc.) and stored in database 21 (steps 403, 404). If the logo is clearly identified, that identifying information for the video content is input to a business rules engine for further action (step 405).
  • the logo may not precisely coincide with one of the sample logos, but may coincide to some predetermined degree; that is a "fuzzy" match with a known logo at, for example, 90% coincidence. If a "fuzzy" match is found, the rules engine may issue a report alerting a human reviewer to the appearance of the logo. The content may then be subjected to other processes, including off-line review (step 409), to determine a more precise match with a known logo.
  • step 408 uploading of the content is permitted.
  • the business rules engine determines the disposition of the content (step 406). For example, each known logo may have a list of approved users (aggregators, affiliates, or simply "approved uploaders") associated therewith. If the user attempting to upload the content is on the approved list (step 407, 410), then uploading is permitted. Otherwise, the rules engine determines that the content is protected, and the user submitting the content is unauthorized (step 411). The business rules engine may establish several possible ways to dispose of content submitted for upload by an unauthorized user.
  • FIG. 6 is a flowchart schematically illustrating alternative methods of disposing of content.
  • the business rules that are applied reflect previously established policies of the particular content owner.
  • the unauthorized upload may be prevented (step 502) or may be permitted (step 503) with conditions imposed on the user.
  • the content may be simply deleted (step 503) or returned to the user (step 504).
  • the engine may also take further action to mark the event (e.g. make an entry in a file, send a message to the content owner, etc.).
  • the content owner may choose to permit the user to upload its content, in order to derive revenue therefrom (step 510).
  • the rules engine marks the uploaded content (step 511) and keeps a record of subsequent access of the content by the user. The administrator of network 15 may then charge a fee each time the content is played, thereby providing revenue for the content owner (step 512).
  • the rules engine may attach attribution information to the content before it is uploaded.
  • the rules applied to unauthorized users need not be the same for every content owner, or every item of content. For example, one owner may choose to block all attempted uploads of its content, while another owner may choose to permit uploads of preselected items; a user attempting to upload a popular, recently released movie may be charged a higher fee than for an older movie.
  • a tonal logo may be used to identify the owner of video or audio content.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Technology Law (AREA)
  • Computer Hardware Design (AREA)
  • Computer Security & Cryptography (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

A system and method for protecting copyright in content distributed online, in combination with specified business rules. A portion of content presented for upload on a network is analyzed to detect an image associated with a content owner; the image is compared with reference images to identify the content owner; and business rules are applied to control unauthorized uploading of the content. The identifier may be a logo included in the content as a digital graphic, or a non- visual marker. Analysis is advantageously performed on a sample of video frames or a segment of preselected length. If the content is found to be copyrighted, and the attempted upload is unauthorized, uploading may or may not be permitted, and the user may or may not be charged a fee for subsequent access to the content.

Description

SYSTEM AND METHOD FOR DETECTING THE SOURCE OF MEDIA CONTENT WITH APPLICATION TO BUSINESS RULES
FIELD OF THE DISCLOSURE
This disclosure relates to determining the source of audio or video content available on a network (e.g. the Internet), and using that information to enforce copyright protection and/or business rules for that content.
BACKGROUND OF THE DISCLOSURE
Many people upload copyrighted content to websites without authorization. Websites generally build costly safeguards into their infrastructure to prevent (or minimize) copyright infringement.
SUMMARY OF THE DISCLOSURE
The present disclosure provides a system and method for protecting copyright in content distributed online, in combination with specified business rules. In accordance with an aspect of the disclosure, this is done by analyzing a portion of content presented for upload on a network to detect an image associated with a content owner; comparing a detected image with a set of reference images to identify the owner of the content; and applying business rules to control unauthorized uploading of the content. This image may be a logo of the content owner included in the content as a digital online graphic. Alternatively, the image may be a human face appearing in a video, with the analysis including an automated face recognition procedure. In a case where the content comprises a video, the analysis is advantageously performed on a sample of video frames, or on a segment having a preselected length.
The comparison between the detected image and the reference images may include determining a degree of coincidence between the detected image and a reference image; if the degree of coincidence meets a predetermined criterion, a requirement for additional analysis of the image (e.g. human inspection) may be reported.
The application of business rules may include comparing an identifier of a user presenting the content with a set of authorized user identifiers associated with the content owner; permitting uploading of the content if the user is determined to be authorized; and disposing of the content if the user is determined to be unauthorized. If the user is unauthorized, uploading by that user may still be permitted with the user being charged a fee for subsequent access to the uploaded content.
In accordance with another aspect of the disclosure, a system includes a server configured to implement a method with the above-described features.
The system and method disclosed herein provide a simple, effective way to identify content from the content owners who provide explicit visual cues or non-visual markers so that downstream receivers of the content can use content analysis techniques to determine the form of the content and then to implement appropriate business rules.
The foregoing has outlined, rather broadly, the preferred features of the present disclosure so that those skilled in the art may better understand the detailed description of the disclosure that follows. Additional features of the disclosure will be described hereinafter that form the subject of the claims of the disclosure. Those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiment as a basis for designing or modifying other structures for carrying out the same purposes of the present disclosure and that such other structures do not depart from the spirit and scope of the disclosure in its broadest form. BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a schematic diagram of a system in which a user may download copyrighted content having a logo.
FIG. 2 schematically illustrates a system including a logo detection and business rules engine, in accordance with an embodiment of the disclosure.
FIGS. 3 A and 3B illustrate logos in the form of a digital graphic and human face, respectively.
FIG. 4 is a flowchart showing steps in an automated method for detecting copyrighted content, in accordance with an embodiment of the disclosure.
FIG. 5 is a flowchart showing steps in an automated method for detecting a logo and applying relevant business rules, in accordance with an embodiment of the disclosure.
FIG. 6 is a flowchart illustrating an automated business process for enforcing a content owner's copyright, in accordance with another aspect of the disclosure.
DETAILED DESCRIPTION
An embodiment will be described below in which video content includes a digital on-line graphic, which serves as a logo for the content owner. It will be appreciated, however, that professionally produced content typically has numerous features (both visual and aural) which may serve as effective identifiers for the content owner, and therefore function as a logo for the owner.
FIG. 1 schematically illustrates downloading of video content 1 to a user device 2 (typically a personal computer). The user of the device sends a request for image content via the Internet 10. The image source 11 may be a publisher or distributor of movies, TV shows, photographs or the like. The image source 11 retrieves the image from a storage device 12 and makes it available for download by the user. The content includes a logo 3 (typically a semi-transparent shape in the lower right corner of the display). The content 1 is typically protected by copyright, so that the user is authorized to view the content but not retain a copy of it. However, in the absence of suitable detection software for copyrighted content, the user still is able to upload the content to a user space 17, accessible via a network 15 maintained by an online application provider such as Yahoo!®, and store the content in storage 18. Typically the content is sent by the user via the Internet to an ingest server 16 of the network 15. It will be appreciated that the video source 11 and storage 12 may themselves be part of network 15.
FIG. 2 schematically illustrates an embodiment of the disclosure where the network 15 includes a logo detection and rules engine 20 for processing incoming content before that content is accepted by ingest server 16. Although engine 20 is shown separate from ingest server 16, it will be appreciated that the two may operate on the same server hardware. A library of logos is maintained in a storage device 21, for comparison with incoming video content.
Since most instances of theft of copyrighted content involve premium entertainment content, a wide range of content may be protected by comparing with a relatively small sample size of logos. When the logo is a digital graphic or "bug," the task of finding a logo is simplified by its predictable placement in a corner 24 of a video frame, as illustrated in FIG. 3A. Alternatively, the logo detection may involve recognition of a human face 25 appearing in the frame (FIG. 3B).
FIG. 4 illustrates steps in a method for detecting a logo using engine 20. The incoming content is fed to the network and staged (step 31). The incoming content then undergoes decompression and transcoding (step 32), e.g. conversion to flash video. The decompressed video, or a portion of it, is then analyzed to detect a logo (step 33). Content analysis techniques such as image recognition may be used to detect the presence of a logo, which may or may not be visible to a human viewer of the content. It is generally not necessary to analyze every frame of the video; the video may be sampled to yield a predetermined number of frames, or a segment of a preselected length may be broken out. For example, it is convenient to analyze a segment about 21A minutes in length, to overlap the longest expected television commercial break, and thus capture at least some portion of a copyrighted program.
The selected frames or segments are then compared with known logos in predictable spots in each frame (step 34). If a logo is detected in the incoming video, the engine applies business rules (step 35) to determine whether the video content is to be uploaded, discarded, returned to the sender, or uploaded with fees charged to the sender, as discussed in more detail below.
FIG. 5 is a flowchart illustrating additional details of the logo detection and comparison process, according to an embodiment. The video content is received, decompressed and analyzed using content analysis techniques (steps 401, 402). The video content, or a sample thereof, may be analyzed for an on-screen graphic or for some other identifier. Content analysis techniques may include face recognition, voice recognition, OCR, or detection of auxiliary information available in the content (e.g. digital cue -tones indicating broadcast advertising insertion points, or closed caption text recognition). While a logo is often a visible on-screen graphic marking the image (or video frames), automated content analysis techniques are equally effective for logos not visible to the viewer.
Once a logo is detected, it is compared with the sample logos previously provided by the content providers (artists, publishers, distributors, etc.) and stored in database 21 (steps 403, 404). If the logo is clearly identified, that identifying information for the video content is input to a business rules engine for further action (step 405). In an embodiment, the logo may not precisely coincide with one of the sample logos, but may coincide to some predetermined degree; that is a "fuzzy" match with a known logo at, for example, 90% coincidence. If a "fuzzy" match is found, the rules engine may issue a report alerting a human reviewer to the appearance of the logo. The content may then be subjected to other processes, including off-line review (step 409), to determine a more precise match with a known logo.
If no logo is recognized, uploading of the content is permitted (step 408). If the content includes a known logo, the business rules engine determines the disposition of the content (step 406). For example, each known logo may have a list of approved users (aggregators, affiliates, or simply "approved uploaders") associated therewith. If the user attempting to upload the content is on the approved list (step 407, 410), then uploading is permitted. Otherwise, the rules engine determines that the content is protected, and the user submitting the content is unauthorized (step 411). The business rules engine may establish several possible ways to dispose of content submitted for upload by an unauthorized user. FIG. 6 is a flowchart schematically illustrating alternative methods of disposing of content. The business rules that are applied (step 501) reflect previously established policies of the particular content owner. At the content owner's direction, the unauthorized upload may be prevented (step 502) or may be permitted (step 503) with conditions imposed on the user. When the upload of the content is prevented, the content may be simply deleted (step 503) or returned to the user (step 504). The engine may also take further action to mark the event (e.g. make an entry in a file, send a message to the content owner, etc.).
Alternatively, the content owner may choose to permit the user to upload its content, in order to derive revenue therefrom (step 510). In an embodiment, the rules engine marks the uploaded content (step 511) and keeps a record of subsequent access of the content by the user. The administrator of network 15 may then charge a fee each time the content is played, thereby providing revenue for the content owner (step 512). In this instance, the rules engine may attach attribution information to the content before it is uploaded.
The rules applied to unauthorized users need not be the same for every content owner, or every item of content. For example, one owner may choose to block all attempted uploads of its content, while another owner may choose to permit uploads of preselected items; a user attempting to upload a popular, recently released movie may be charged a higher fee than for an older movie.
It will be appreciated that the system and method disclosed herein may be used to protect both visual and non-visual (e.g. aural or tonal) copyrighted content. In particular, a tonal logo may be used to identify the owner of video or audio content.
While the disclosure has been described in terms of specific embodiments, it is evident in view of the foregoing description that numerous alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, the disclosure is intended to encompass all such alternatives, modifications and variations which fall within the scope and spirit of the disclosure and the following claims.
I claim:

Claims

1. A method comprising: analyzing a portion of content presented for upload to a website to detect an image associated with a content owner visibly displayed in said portion; comparing a detected image with a set of reference images to identify the owner of said content; and applying business rules to a result of said comparing to control said upload of said content.
2. A method according to claim 1, wherein the image is a digital graphic comprising a logo of the content owner.
3. A method according to claim 1, wherein the image includes a human face, and said analyzing includes an automated face recognition procedure.
4. A method according to claim 1, wherein said comparing further comprises determining a degree of coincidence between the detected image and a reference image; and if the degree of coincidence meets a predetermined criterion, reporting a requirement for additional analysis of the detected image.
5. A method according to claim 4, wherein said additional analysis comprises human inspection.
6. A method according to claim 1, wherein said content comprises video frames, and said analyzing is performed on a sample of said frames.
7. A method according to claim 1, wherein said portion is a segment of a video program, the segment having a preselected length.
8. A method according to claim 1, wherein said step of applying business rules further comprises comparing an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; permitting uploading of said content if the user is determined to be authorized; and not permitting uploading of the content if the user is determined to be unauthorized.
9. A method according to claim 8, wherein said disposing further comprises permitting uploading of said content by the user; and causing said user to be charged a fee for subsequent access to the uploaded content.
10. A method comprising: analyzing a portion of content presented for upload to a website to detect a logo of a content owner; comparing a detected logo with a set of reference logos to identify the owner of said content; and applying business rules to a result of said comparing to control said upload of said content, wherein said content comprises video frames, and said analyzing is performed on a sample of said frames.
11. A method according to claim 10, wherein said step of applying business rules further comprises comparing an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; permitting uploading of said content if the user is determined to be authorized; and not permitting uploading of said content if the user is determined to be unauthorized.
12. A method according to claim 10, wherein said step of applying business rules further comprises comparing an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; and if the user is determined to be unauthorized, permitting uploading of said content by the user, and causing said user to be charged a fee for subsequent access to the uploaded content.
13. A system comprising: a server configured to analyze a portion of content presented for upload to a website to detect an image associated with a content owner visibly displayed in said portion; compare a detected image with a set of reference images to identify the owner of said content; and apply business rules to a result of said comparison to control said upload of said content.
14. A system according to claim 13, wherein the image is a digital graphic comprising a logo of the content owner.
15. A system according to claim 13, wherein the image is a human face, and said server is configured to analyze said content using an automated face recognition procedure.
16. A system according to claim 13, wherein said server is configured to determine a degree of coincidence between the detected image and a reference image, and where the degree of coincidence meets a predetermined criterion, to report a requirement for additional analysis of the detected image.
17. A system according to claim 13, wherein said content comprises video frames, and said server is configured to analyze a sample of said frames.
18. A system according to claim 13, wherein said server is configured to compare an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; permit uploading of said content if the user is determined to be authorized; and not permit uploading of said content if the user is determined to be unauthorized.
19. A system according to claim 13, wherein said server is configured to compare an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; and if the user is determined to be unauthorized, permit uploading of said content by the user, and cause said user to be charged a fee for subsequent access to the uploaded content.
20. A system comprising: a server configured to analyze a sample of video frames of content presented for upload to a website network to detect a logo of a content owner, the logo comprising audio information; compare a detected logo with a set of reference logos to identify the owner of said content; and apply business rules to a result of said comparing to control said upload of said content.
21. A system according to claim 20, wherein said server is configured to compare an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; permit uploading of said content if the user is determined to be authorized; and not permit uploading of said content if the user is determined to be unauthorized.
22. A system according to claim 20, wherein said server is configured to compare an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; and if the user is determined to be unauthorized, permit uploading of said content by the user, and cause said user to be charged a fee for subsequent access to the uploaded content.
23. A computer-readable medium comprising instructions for performing a method comprising: analyzing a portion of content presented for upload to a website to detect an image associated with a content owner visibly displayed in said portion; comparing a detected image with a set of reference images to identify the owner of said content; and applying business rules to a result of said comparing to control said upload of said content.
24. A computer-readable medium according to claim 23, wherein the image is a digital graphic comprising a logo of the content owner.
25. A computer-readable medium according to claim 23, wherein said step of applying business rules further comprises comparing an identifier of a user presenting said content with a set of authorized user identifiers associated with the content owner; permitting uploading of said content if the user is determined to be authorized; and not permitting uploading of the content if the user is determined to be unauthorized.
PCT/US2009/032041 2008-02-01 2009-01-26 System and method for detecting the source of media content with application to business rules Ceased WO2009099790A2 (en)

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