System and method for searching media content

• US 20060282465A1
• Filed: 06/14/2005
• Published: 12/14/2006
• Est. Priority Date: 06/14/2005
• Status: Abandoned Application

• Current Assignee: Corescient Ventures LLC
• Original Assignee: Corescient Ventures LLC
• Inventors: Sharma, Anshuman
• Application Number:
  US11/151,997
• Publication Number:
  US 20060282465A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: H04L 67/104 Peer-to-peer [P2P] networks
• CPC Class Codes: H04L 67/1063 Discovery through centralising entities
• CPC Class Codes: H04L 67/108 characterised by resources being split in blocks or fragments

Abstract

A system for determining the existence of pre-determined media content within a media content collection. The system includes a media content processing module configured for collecting one or more media content files from one or more external peer-to-peer networks to form the media content collection, generating one or more classification parameter values based upon a corresponding one or more attributes for each of the one or more collected media content files, applying one or more parsing algorithms to at least one of the media content file and the one or more classification parameter values corresponding thereto for each of the one or more collected media content files, and generating one or more searchable indices based upon outputs from the one or more parsing algorithms. The system also includes a media content search module in communication with the media content processing module configured for applying a search algorithm to at least one of the one or more searchable indices based upon one or more search strings input thereto.

Claims

1. A system for determining the existence of pre-determined media content within a media content collection, the system comprising:

a media content processing module configured for;

collecting one or more media content files from one or more external peer-to-peer networks to form the media content collection;

generating one or more classification parameter values based upon a corresponding one or more attributes of the media content file for each of the one or more collected media content files;

applying one or more parsing algorithms to at least one of the media content file and the one or more classification parameter values corresponding thereto for each of the one or more collected media content files; and

generating one or more searchable indices based upon outputs from the one or more parsing algorithms; and

a media content search module in communication with the media content processing module, wherein the media content search module is configured for applying a search algorithm to at least one of the one or more searchable indices based upon one or more search strings input thereto.

2. The system of claim 1, wherein the one or more external peer-to-peer networks comprise at least one Internet-based peer-to-peer network.

3. The system of claim 1, wherein the one or more media content files comprise at least one of the following:

an audio media content file, an image media content file, a video media content file, and a document media content file.

4. The system of claim 1, wherein the one or more file attributes comprise at least one of the following:

a file name, a file size, a file type, and a file format.

5. The system of claim 1, wherein the one or more parsing algorithms comprise at least one of the following:

a file format reader parsing algorithm, a cryptographic signature hashing parsing algorithm, a binary output conversion parsing algorithm, a speech-to-text conversion parsing algorithm, an optical character recognition parsing algorithm, a voice capture recognition parsing algorithm, a sound capture recognition parsing algorithm, a video capture recognition parsing algorithm, and an image capture recognition parsing algorithm.

6. The system of claim 1, wherein the search algorithm comprises at least one of the following:

a pattern-based search algorithm and a context-based search algorithm.

7. The system of claim 1, wherein the one or more search strings comprise at least one search string derived from the pre-determined media content.

8. The system of claim 1, wherein the pre-determined media content comprises media content that is subject to a restriction with respect to one or more of the following:

copy, use, and distribution.

9. The system of claim 1, wherein the system further comprises a relevancy sorter module configured for computing a relevance score for at least one of the one or more collected media content files.

10. The system of claim 9, wherein the relevancy score is based on at least one of the following:

a first, second, and third weight factor.

11. The system of claim 10, wherein the first weight factor comprises a first component and a second component, wherein the a first component is computed by applying a file format reader parsing algorithm to the media content file and comparing the corresponding output of the file format reader parsing algorithm to the output of the file format reader parsing algorithm when applied to the pre-determined content.

12. The system of claim 11, wherein the second component is computed by comparing one or more cryptographic signatures derived from the media content file to a corresponding one or more cryptographic signatures derived from the pre-determined media content.

13. The system of claim 10, wherein the second weight factor is computed by performing a plurality of searches of at least one of the one or more searchable indices using a corresponding plurality of search strings, wherein the corresponding plurality of search strings is derived from the pre-determined media content by applying a binary output conversion parsing algorithm thereto.

14. The system of claim 10, wherein the third weight factor comprises a first component and a second component, wherein the first component is computed by performing one or more searches of at least one of the one or more searchable indices using a corresponding one or more search strings, wherein the one or more search strings are derived from the pre-determined media content by applying at least one of a speech-to-text conversion parsing algorithm, an optical character recognition parsing algorithm, a voice capture recognition parsing algorithm, a sound capture recognition parsing algorithm, a video capture recognition parsing algorithm, and an image capture recognition parsing algorithm thereto.

15. The system of claim 14, wherein the second component is computed based on at least one of an occurrence score, a sequencing score, and a completion score.

16. The system of claim 10, wherein at least one of the first, second, and third weight factors include a bias component.

17. A method of determining the existence of pre-determined media content within a media content collection, the method comprising:

collecting one or more media content files from one or more external peer-to-peer networks to form the media content collection;

generating one or more classification parameter values based upon a corresponding one or more attributes of the media content file for each of the one or more collected media content files;

applying one or more parsing algorithms to at least one of the media content file and the one or more classification parameter values corresponding thereto for each of the one or more collected media content files;

generating one or more searchable indices based upon outputs from the one or more parsing algorithms; and

applying a search algorithm to at least one of the one or more searchable indices based upon one or more search strings input thereto.

18. The method of claim 17, further comprising computing a relevance score for at least one of the one or more collected media content files.

19. The method of claim 18, wherein computing the relevance score comprises computing at least one of the following:

a first, second, and third weight factor.

20. A computer readable medium having stored thereon instructions which, when executed by a processor, cause the processor to:

collect one or more media content files from one or more external peer-to-peer networks to form a media content collection;

generate one or more classification parameter values based upon a corresponding one or more attributes of the media content file for each of the one or more collected media content files;

apply one or more parsing algorithms to at least one of the media content file and the one or more classification parameter values corresponding thereto for each of the one or more collected media content files;

generate one or more searchable indices based upon outputs from the one or more parsing algorithms; and

apply a search algorithm to at least one of the one or more searchable indices based upon one or more search strings input thereto.