Granted Patent B2

US 7,325,013 · App. 10/830,962 · Granted Jan 29, 2008

Abstract

Claims (98)

1. A computer-implemented method for identifying a test stream by matching the test stream to a substream within a repository of standard streams,

wherein the test stream is obtained from a series of samples of an event or a content item, and a substream comprising at least a portion of a standard stream in the repository, the method comprising:

indexing a plurality of substreams according to a plurality of templates,

each template specifying a number of bit positions,

wherein a given template is associated with a plurality of buckets,

each bucket referencing a group of substreams that have the same values at the bit positions specified by the template;

for a plurality of buckets, marking the buckets, for which the bits in the test stream match the bits in the substreams of the Bucket at the bit positions specified by the template associated with the bucket;

identifying a candidate set of substreams based on the occurrence in the marked buckets of each substream;

testing the substreams of the candidate set to determine whether one or more of the substreams thatch the test stream within an error tolerance; and

presenting a result of the testing.

2. The method of claim 1 , wherein testing each of the substreams comprises:

determining a distance between the test stream and the substream; and

identifying the substream as a match if the distance is within the error tolerance.

3. The method of claim 2 , wherein the distance is computed based on a fraction of the corresponding bits in the test stream and the substream that are not the same, the error tolerance defined as a predetermined fraction of bits that are allowed to be different between the test stream and a matching substream.

4. The method of claim 1 , wherein each bucket references one or more substreams using an identifier of a standard stream in the repository and an offset within that standard stream for locating the substream within the standard stream.

5. The method of claim 1 , wherein each standard stream comprises a plurality of frames, each frame containing characteristic information related to a sample of an audio item.

6. The method of claim 1 , wherein the test stream comprises a plurality of frames, each frame having a number of bits describing characteristic information about a sampled audio item.

7. A computer-implemented method for identifying a test sequence by matching the test sequence to a substream within a repository of standard streams, wherein the test sequence is obtained from a series of samples of an event or a content item, a substream comprising at least a portion of a standard stream in the repository, the method comprising:

indexing a plurality of substreams according to a plurality of templates, each template specifying a number of bit positions, wherein a given template is associated with a plurality of buckets, each bucket referencing a group of substreams that have the same values at the bit positions specified by the template;

selecting a first subsequence of the test sequence, wherein the first subsequence has a length equal to a test length and the test sequence has a length greater than the test length;

searching the repository for the first subsequence by:

for a plurality of buckets marking the buckets for which the bits in the first subsequence match the bits in the substreams of the bucket at the bit positions specified by the template associated with the bucket,

identifying a candidate set of substreams based on the occurrence in the marked buckets of each substream, and

testing the sub streams of the candidate set to determine whether one or more of the substreams match the first subsequence within an error tolerance;

for any substreams that match the first subsequence within the error tolerance,

determining whether the test sequence matches a corresponding substream of the repository;

if the test sequence does not match any substreams in the repository,

selecting a second subsequence of the test sequence haying a length equal to the test length;

searching the repository for the second subsequence by:

for a plurality of buckets, marking the buckets for which the bits in the second subsequence match the bits in the substreams of the bucket at the bit positions specified by the template associated with the bucket;

identifying a candidate set of substreams based on the occurrence in the marked buckets of each substream, and

testing the substreams of the candidate set to determine whether one or more of the substreams match the second subsequence within an error tolerance;

for any substreams that math the second subsequence within the error tolerance,

determining whether the test sequence matches a corresponding substream of the repository; and

presenting a result of the testing.

8. A computer-implemented method for fuzzy matching a test stream to one or more standard streams in a repository,

wherein the test stream is obtained from a series of samples of an event or a content item, the test stream suspected of matching one or more substream portions of one or more standard streams in the repository within a given error tolerance, the method comprising:

searching a plurality of indexes for substreams in the repository,

each index including a template that defines a plurality of bit positions within a substream,

a set of buckets for which each bucket identifies a group of substreams that have the same bit values at the bit positions defined by the template, and

a set of keys for which each key is associated with a bucket and identifies the shared bit values at the bit positions defined by the template for the substream references referenced by the associated bucket,

wherein for each of a plurality of indexes the searching comprises:

computing an index value of the test stream, the index value comprising a bit string for which each bit in the bit stream is equal to the value of the bit in the test stream at a bit position specified by a template associate with the index, and

if a key in the index matches the index, value of the test stream, marking the bucket associated with the key;

identifying a candidate set of substreams based on the occurrence of each the substreams in marked buckets;

testing each of the substreams in the candidate set for a match with the test stream within the given error tolerance; and

presenting a result of the testing.

9. The method of claim 8 , wherein testing each of the substreams comprises:

determining a distance between the test stream and the substream; and

identifying the substream as a match if the distance is within the error tolerance.

10. The method of claim 9 , wherein the distance is computed based on a fraction of the corresponding bits in the test stream and the substream that are not the same, the error tolerance defined as a predetermined fraction of bits that are allowed to be different between the test stream and a matching substream.

11. The method of claim 8 , wherein each standard stream comprises a plurality of frames, each frame containing characteristic information related to a sample of an audio item.

12. The method of claim 8 , wherein the test stream comprises a plurality of frames, each frame having a number of bits describing characteristic information about a sampled audio item.

13. A computer program product for identifying a test stream by matching the test stream to a substream within a repository of standard streams,

wherein the test stream is obtained from a series of samples of an event or a content item, a substream comprising at least a portion of a standard stream in the repository, the computer program product comprising a computer-readable storage medium containing computer program code for performing the operations:

indexing a plurality of substreams according to a plurality of templates, each template specifying a number of bit positions,

wherein a given template is associated with a plurality of buckets, each bucket referencing a group of substreams that have the same values at the bit positions specified by the template;

for a plurality of buckets; marking the buckets for which the bits in the test stream match the bits in the substreams of the bucket at the bit positions specified by associated the template associated with the bucket;

identifying a candidate set of substreams based on the occurrence in the marked buckets of each substream; and

testing the substreams of the candidate set to determine whether one or more of the substreams match the test stream within an error tolerance; and

presenting a result of the testing.

14. The computer program product of claim 13 , wherein testing each of the substreams comprises:

determining a distance between the test stream and the substream; and

identifying the substream as a match if the distance is within the error tolerance.

15. The computer program product of claim 14 , wherein the distance is computed based on a fraction of the corresponding bits in the test stream and the substream that are not the same, the error tolerance defined as a predetermined fraction of bits that are allowed to be different between the test stream and a matching substream.

16. The computer program product of claim 13 , wherein each bucket references one or more substreams using an identifier of a standard stream in the repository and an offset within that standard stream for locating the substream within the standard stream.

17. The computer program product of claim 13 , wherein each standard stream comprises a plurality of frames, each frame containing characteristic information related to a sample of an audio item.

18. The computer program product of claim 13 , wherein the test stream comprises a plurality of frames, each frame having a number of bits describing characteristic information about a sampled audio item.

19. .A computer program product for fuzzy matching a test stream to one or more standard streams in a repository, wherein the test stream is obtained from a series of samples of an event or a content item, the test stream suspected of matching one or more substream portions of one &more standard streams in the repository within a given error tolerance, the′computer program product comprising a computer-readable storage medium containing computer program code for performing the operations:

searching a plurality of indexes for substreams in the repository,

each index including a template that defines a plurality of bit positions within a substream,

a set of buckets for which each bucket identifies a group of substreams that have the same bit values at the bit positions defined by the template, and

a set of keys for which each key is associated with a bucket and identifies the shared bit values at the bit positions defined by the template for the substream references referenced by the associated bucket, wherein for each of a plurality of indexes the searching comprises:

computing an index value of the test stream, the index value comprising a bit string for which each bit in the bit stream is equal to the value of the bit in the test stream at a bit position specified by a template associate with the index, and

if a key in the index matches the index value .of the test stream, marking the bucket associated with the key;

identifying a candidate set of substreams based on the occurrence of each the substreams in marked buckets;

testing each of the substreams in the candidate set for a match with the test stream within the given error tolerance; and

presenting a result of the testing.

20. The computer program product of claim 19 , wherein testing each of the substreams comprises:

determining a distance between the test stream and the substream; and

identifying the substream as a match if the distance is within the error tolerance.

21. The computer program product of claim 20 , wherein the distance is computed based on a fraction of the corresponding bits in the test stream and the substream that are not the same, the error tolerance defined as a predetermined fraction of bits that are allowed to be different between the test stream and a matching substream.

22. The computer program product of claim 19 , wherein each standard stream comprises a plurality of frames, each frame containing characteristic information related to a sample of an audio item.

23. The computer program product of claim 19 , wherein the test stream comprises a plurality of frames, each frame having a number of bits describing characteristic information about a sampled audio item.

24. A computer-implemented method for matching a test segment to one or more data items in a database, wherein the test segment is obtained from a series of samples of an event or a content item, the method comprising:

indexing a plurality of data segments by a plurality of templates,

each data segment comparable to a test segment and comprising a contiguous portion of a data item in the database, and

each template specifying a different set of locations within a segment;

for each of a plurality of templates, identifying any indexed data segments that match the test segment at the set of locations specified by the template;

identifying a candidate set of data segments based on the number of occurrences the data segments matched the test segment for each of a number of templates;

testing the data segments in the candidate set to determine whether one or more data segments match the test segment within an error tolerance; and

presenting a result of the testing.

25. The method of claim 24 , wherein each template specifies a plurality of bit positions in a segment.

26. The method of claim 24 , wherein testing each of the data segments comprises:

determining a distance between the test segment and the data segment; and

identifying the data segment as a match if the distance is within the error tolerance.

27. The method of claim 24 , wherein each data item comprises a plurality of frames, each frame containing characteristic information about sampled media content.

28. The method of claim 24 , wherein the test segment comprises a plurality of frames, each frame having a number of bits describing characteristic information about sampled media content.

Assignments (10)