System and method for detecting and verifying digitized content over a computer network

Information

  • Patent Grant
  • 7406529
  • Patent Number
    7,406,529
  • Date Filed
    Friday, February 9, 2001
    23 years ago
  • Date Issued
    Tuesday, July 29, 2008
    15 years ago
Abstract
A system for detecting digitized content and selecting matches from a master verification database. The detection of digitized content is performed using a verification database which contains a master table of contents identifiers and songprints for corresponding digitized content. A network server is programmed to receive selections of a table of contents identifiers from computers, and to request selections of songprint identifiers from the computers and selects matches from the master verification database.
Description
BACKGROUND OF THE INVENTION

This invention relates to the field of online digital content distribution and more particularly, to a system and method for facilitating music distribution and authentication over a communications network.


The internet has created a highway for users and companies to share digitized content. Online services allow digitized content stored on servers to be shared by multiple users via the internet. Online services also allow users to play digitized content stored in an Internet-connected repository.


It is advantageous for online service providers to detect and verify whether or not the user has a physical copy of digitized content, such as a CD or DVD, prior to allowing the user access to the digitized content.


SUMMARY OF THE INVENTION

The present invention system identifies and authenticates digitized content, such as compact audio disc (hereinafter “CD-Audio,” or “CD”) residing in a CD-Audio-compatible drive of a computer and verifies that the CD is authentic or an exact replica. However, the present invention is not limited to CD verification. In certain embodiments of the invention, digitized content stored on DVDs or other medium including a physical disc, disc drive, or in solid state memory devices, may be verified. The invention may be practiced in a number of electronic devices, including personal computers, disc players such as CD players and DVD players, and other electronic devices. In certain embodiments according to the present invention, a verification database is created from a set of master CDs. The verification database contains records of CDs and a corresponding table-of-contents, also known as a table-of-contents identifier, (hereinafter “TOC”) and corresponding selected audio data from the CD.


After the verification database is created, verification of a CD to the master CD may be performed. The CD is first identified by matching the TOC from the CD against the verification database. Using the TOC data the system identifies one or more master CDs with a similar TOC. The identified CDs are then authenticated by matching selected audio data from the CD against the verification database created from a set of master CDs.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1. details the overall architecture of the system;



FIG. 2. details the verification database creation system;



FIG. 3. depicts key client and server operations during identification and verification.





DETAILED DESCRIPTION OF THE INVENTION

In the following embodiments of the invention, common reference numerals are used to represent the same components. If the features of an embodiment are incorporated into a single system, these components can be shared and perform all the functions of the described embodiments.


In FIG. 1, a Server 111 and a Client 121 communicate with each other via a communications network 113 for the purpose of identifying and authenticating or verifying digital content. In one embodiment of the present invention, a user inserts a CD for verification in a CD Reader 123, the Client 121 controls the CD Reader 123 as necessary to acquire data from the CD. The Client 121 communicates the data to the Server 111.


The Client 121 is a general purpose personal computer programmed to read CDs from the CD reader 123. The Client 121 is typically located at a remote location 117 which is connected to the network 113 via a communications link 119. In one embodiment the Client 121 is used by an Internet user computing from their home or office. The communications link 119 may be a dial-in modem connecting to an internet service provider or a broad-band service such as DSL or cable internet access.


The Server 111 is programmed to receive information from the Client 121 for verification with information stored in the Verification Database 106. The Server 111 is typically programmed to facilitate multiple connections from Clients 121 and 129, each with a CD Reader 123 and 131 respectively, and connected to the Network 113 via a communications link 115. The Clients 121 and 129 are also connected to the Network 113 via communications likes 119 and 127 respectively. Typically the Server 111 and the Verification Database 106 are located at a Server Facility 101 to optimize system performance. In another embodiment, the Server 111 may be located in a separate facility from the Verification Database 106. In a preferred embodiment of the invention the Server 111 is a high performance micro-computer running the UNIX operating system.


Before the Server 111 can identify and verify CDs for the Client 121, the corresponding CD data must be stored in the Verification Database 106. An Encoding Computer 103 is programmed to read master CDs from a CD reader 105 and store data about the CD in the Verification Database 106. Alternatively, data about the CD is computed from digital audio files stored on a computer that contain a copy of the audio data found on a master CD.


The Verification Database 106 is comprised of a Verification Table 107 and an Identification Table 109. Creation of the Verification Database 106 is accomplished by computing and storing entries in the database for each CD to be identified and verified by the Encoding Computer 103. Each database entry comprises several elements of identification and verification data which are computed from the TOC and audio data extracted from an original, authentic CD title.


In one embodiment of the present invention the various components and computers of the system communicate with each other using a general connection-oriented protocol such as the Transmission Control Protocol/Internet Protocol (TCP/IP), which is described in Internetworking with TCP/IP, 3d. ed., Douglas E. Comer, (1995), which is hereby incorporated by reference. However, the present invention is not limited to TCP/IP or any other particular network architecture, software or hardware which may be described herein. The principles of the invention apply to other communications protocols, network architectures, hardware and software which may come to compete with or even supplant the state of the art at the time of the invention.


In FIG. 2 the Verification Database 106 is comprised of two tables: an Identification Table 109 and a Verification Table 107. Each entry in the Identification Table 109 comprises a subset of the TOC data from the corresponding CD title, and multiple subsets of TOC data are stored for each corresponding CD title. This data is used during the identification phase of the disc verification procedure to quickly locate CDs that have a TOC similar to the CD being identified. The Identification Table 109 is comprised of the following fields:


Disc Identifier—A value assigned during database creation that uniquely identifies the CD.


TOC Identifier—A hash value computed from the CD TOC.


Disc Length—Total length (in blocks) of the audio portion of the CD.


First Track Length—Length (in blocks) of the first audio track on the CD.


Last Track Length—Length (in blocks) of the last audio track on the CD.


Shortest Track Length—Length (in blocks) of the shortest audio track on the CD.


Longest Track Length—Length (in blocks) of the longest audio track on the CD.


Disc Songprint—An identifying value computed from the CD audio data.


Once created, the entire Identification Table 109 may be sorted by and stored in ascending or descending order using the value of the Disc Length field to facilitate faster look ups.


In FIG. 2 the Verification Table 107 is comprised of identification and verification data that is both copied and computed from the corresponding CD title by the Encoding Computer 103. This data is used during the disc verification procedure to test the identity and validity of the CD being verified. The Verification Table 107 is comprised of a number of individual keys. Each key is computed by the Encoding Computer 103 and stored in the Verification Table 107. The value of each key is derived from audio data read from a certain region of the CD by the CD Reader 105, as instructed by the Verification Table 107. An entry in the Verification Table 107 is comprised of the following fields:


Descriptive Data—Includes CD title and artist.


Disc Identifier—A value assigned during database creation that uniquely identifies the CD.


TOC Identifier—A hash value computed from the CD TOC.


Disc Songprint—An identifying value computed from the CD audio data.


Track Data—The following fields are included for each track:

    • Length—Length (in blocks) of the track
    • Alignment Guide Data—Data derived from the audio data of the track
    • Title—Textual title of the track
    • Track Songprint—An identifying value computed from the audio data of the track.


Key Data—The following fields are included for each key:

    • Track—The number of the track which includes the key region.
    • Offset—The location of the key region within the specified track.
    • Alignment Guide Data—Data derived from the audio data in the key region.
    • Hash Data—A hash value computed from the audio data in the key region.
    • Key Songprint—An identifying value computed from the audio data in the key region.


The Encoding Computer 103 calculates a TOC identifier. A TOC identifier is computed from the CD TOC data by computing a cryptographic hash value using SHA-1 (Secure Hash Algorithm) of the concatenation of the lengths, in blocks, of each track on the CD represented as 4-byte values and truncating the resulting 20-byte hash value to 8 bytes.


The Encoding Computer 103 calculates a songprint. A songprint is a 128-byte value that represents the spectral content of a region of a digital audio recording. It is computed by the following steps:


The two stereo channels are averaged to produce a single channel.


The songprint region is divided into 512-byte chunks. Any partial chunks are discarded. Additionally, for each chunk, the following computations are made:

    • The data is detrended by computing a linear regression and removing the result.
    • A Hanning window is applied to the data.
    • A Fast Fourier Transform (FFT) is computed for the data.
    • The DC component of the result is discarded.
    • The squared magnitudes of each of the remaining spectral components are computed.
    • The spectral components are divided into groups of 4 and averaged to produce 64 spectral components.


Each of the first 64 bytes of the songprint value is computed as follows:

    • The mean of each of the 64 spectral components resulting from each chunk is computed.
    • The mean is converted to a logarithmic value by computing the log 10 and multiplying by 10. Values less than 1×10−20 are assigned the value −200.
    • The resulting dB value is scaled and shifted then converted to an unsigned integer byte value. The scale and shift amounts are chosen to maximize resolution within the range (0-255) expressible in a single byte.


Each of the final 64 bytes of the songprint value is computed as follows:

    • The standard deviation of each of the 64 spectral components resulting from each chunk is computed.
    • The standard deviation is converted to a logarithmic value by computing the log 10 and multiplying by 10.
    • The resulting dB value is scaled and shifted then converted to an unsigned integer byte value. The scale and shift amounts are chosen to maximize resolution within the range (0-255) expressible in a single byte.


The Encoding Computer 103 uses the region to generate the songprint; the region varies between the Disc and Track Songprints and the Key Songprints. The Encoding Computer 103 selects the songprint region by first identifying the length of any “silent” audio at the beginning of the track. This is accomplished by reading 4096-byte blocks of audio data and computing a root-mean-square (RMS) of the amplitude of the samples (the two channels are averaged for each sample during this computation).


The end of the initial silent portion of a track is located by finding the first block that has an RMS amplitude which exceeds the predefined threshold. The beginning of the songprint region is then computed by adding a predefined offset. The length of the songprint region is a predefined value.


For Track Songprints, the RMS amplitude threshold for detecting the end of the initial silence is 0.001. The predefined offset from the end of the initial silence to the beginning of the songprint region is 30 seconds (30*75*2352 bytes). The predefined length of the songprint region is 5 seconds (5*75*2352 bytes).


A Disc Songprint is defined as the Track Songprint for the first track on the CD. The Key Songprint region is the same as the key region. This is because no silence detection or region offset is applied. The Key Songprint region length, like the key region length, is 4096 bytes.


The Encoding Computer 103 generates a Track Alignment Guide. A Track Alignment Guide comprises a 4-byte sample search value and a 4-byte hash value computed from the audio data block midway through the track. If the track is an odd number of blocks in length, the block at the midpoint is used. If the track is an even number of blocks in length, the block immediately after the midpoint is used.


The 4-byte sample search value is the first 4 bytes of the audio data block. The 4-byte hash value is computed by hashing the first 64 bytes of the audio data block using the SHA-1 algorithm and truncating the result to 4 bytes.


The Encoding Computer 103 generates a Key Alignment Guide. A Key Alignment Guide comprises eight 2-byte samples taken from the audio data contained within a key region. The samples are taken at 292-sample intervals starting with the first sample contained within the key region (samples offsets 0, 292, 584, 876, 1168, 1460, 1752, and 2044).


The Encoding Computer 103 generates a Key Hash Data. Key Hash Data is computed by hashing all the bytes contained within the key region using the SHA-1 algorithm and storing the entire 20-byte hash result.


In FIG. 1, the verification procedure is accomplished through a sequence of processes and messages that are exchanged between a Client 121 in which the CD to be verified is located, and a Server 111 which queries a Verification Database 106 as shown in more detail in FIG. 3. The Client 121 and the Server 111 communicate using a network 113. In another embodiment of the invention, the Server 111 may contain the Verification Database 106 internally.


In FIG. 3 block 301 the client begins the verification process. Typically the client may be programmed to begin the process whenever a disc is inserted into the CD reader 123. In block 303, the client reads the Table-of-Contents data from the CD using the appropriate features of the client operating system. Also in block 303, the TOC data is formatted and placed into the Initial Request message. The Initial Request message may be formatted to contain subsets of the TOC data, or the complete TOC data. Also in block 303, the client computes the Disc Songprint for the CD according to the algorithm specified earlier and places it into the Initial Request message, which is sent to the server.


In block 305 Initial Request Processing is performed by the server upon receipt of an Initial Request message from the client. The server receives the Initial Request message from the client and proceeds to extract the TOC and Disc Songprint. The server, using the Identification Table, then locates the entry that best matches the TOC and Disc Songprint provided by the client. The server performs a binary search of the Identification Table (which is sorted by Disc Length) to find the entry that most nearly matches the disc length specified in the TOC.


In block 305, beginning with the entry in the Identification Table identified above, the server compares all neighboring entries to the TOC and Disc Songprint provided by the client. For each entry, the server first tests whether the disc length specified by the TOC and the disc length recorded in the table entry are within a specified limit. The server then computes the root-mean-square (RMS) of the differences between each of the first-, last-, shortest-, and longest-track fields of the table entry and the corresponding data from the TOC. The RMS difference must fall within a specified limit. Finally, the server computes the RMS difference between the corresponding data points (each of the 128 bytes) in the table entry songprint and the Disc Songprint provided by the client.


In block 307, the server selects the entry in the Identification Table that has the smallest RMS difference between the songprint and the one provided by the client, the Best Match. If that RMS difference does not fall within a specified limit, the verification fails and the server constructs a Disc Not Found message in block 309. If the RMS for the Best Match falls within the specified limit, the process proceeds to block 311.


In another embodiment, the server computes the RMS difference between the client-provided and database-provided values for each of the disc length, the first-, last-, shortest-, and longest-track fields, and each of the 128 bytes of the songprint and weights those individual differences to compute a single weighted-difference value representing the overall fit between the client-provided and database-provided data. The server selects as the Best Match the entry in the Identification Table that results in the smallest weighted-difference. In an alternate embodiment, the server selects all the entries which have weighted-difference values less than a predefined threshold and attempts to verify each of these Matches.


In block 311, the server locates the entries in the Verification Table corresponding to the Best Match values. Because each entry in the Verification Table contains a large number of usable verification keys, in block 313, the server selects a smaller subset of key candidates that will be used in the current disc verification. The subset is selected using a pseudo-random sequence that is seeded with the client network address and the current time reduced to half-day resolution (i.e., the same key candidates will be selected for a given network address during a given half day).


In block 313, the key region (the region of audio data on the CD from which each key was computed) is enlarged using the pseudo-random sequence so that the actual key region starts at a pseudo-random offset within the enlarged key region. In addition to the real key candidates selected from the Verification Table entry, a set of decoy keys are also generated, also using the address/time-seeded pseudo-random sequence (i.e., the same decoy key candidates will be generated for a given network address during a given half day). The decoy keys are chosen so as not to overlap the audio data regions from which the real keys are derived. In an alternate embodiment, a random sequence is used to select and adjust keys and generate decoy keys so that each verification attempt by a client causes the server to specify a different set of verification regions.


The server then proceeds to construction of a Verification Response message. The Verification Response message is constructed by the server in response to an Initial Request message from the client. It is also constructed in response to a Verification Request message from the client that fails the verification test as discussed below.


Also in block 313, from the key candidates selected during Initial Request Processing, the server selects one or more keys and includes the offset and length data for each key region in the Verification Response message. A key candidate is used only once during a single disc verification. When all key candidates have been used and the disc has not been successfully verified, the verification fails.


From the decoy key candidates selected during Initial Request Processing, the server selects one or more decoy keys and includes the offset and length data for each key region in the Verification Response message. A decoy key candidate is used only once during a single disc verification. The server generates enough decoy keys during Initial Request Processing so that the decoy keys are not exhausted before the disc keys.


The state of the disc verification process is encrypted and included in the Verification Response message. This includes the presumed identity of the disc, the selected key candidates, the generated decoy key candidates, and the key usage information (which keys/decoys have been requested from the client). The state information is returned to the server by the client in the Verification Request message and is decrypted by the server and used to restore the state of the verification process. The Track Alignment Guide data stored in the Verification Database entry is included in the Verification Response message. Finally, the Verification Response message is sent to the client.


In block 315, for each of the key regions requested by the server, the client determines in which track the region resides, checks the track alignment, and reads the requested data. The client begins track alignment by reading a block from the midpoint of that track and attempting to locate audio data that matches the Track Alignment Guide Data supplied by the server. If the track alignment data is not found, the client reads and searches adjoining blocks until the alignment data is found or a predefined number of blocks have been searched.


The client then computes the offset between the expected location of the track alignment data and the apparent location. After adjusting the location of the requested audio data region by the alignment offset computed, the client reads the audio data from the disc and includes it in the Verification Request message. The client includes the TOC data in the Verification Request message since the server preserves no client state. The Encoded State Information included by the server in the Verification Response message is copied by the client unmodified into the Verification Request message. The Verification Request message is sent to the server. In an alternate embodiment, the client state information is maintained by the server for the duration of the client verification session and is not sent to or received from the client.


In block 317, the server receives the Verification Request message from the client and proceeds to extract the Key Region data. Verification Request Processing is then performed by the server upon receipt of a Verification Request message from the client. The Encoded State Information is extracted, decoded, and used to restore the state of the verification process. For each key region supplied by the client, the server tests the client-supplied data against the corresponding Key Data stored in the disc's entry in the Verification Table. Any data supplied by the client for a decoy key region is discarded.


The server then attempts to locate the actual key region within the enlarged key region data supplied by the client by locating the region that provides the greatest number of values that match the corresponding values in the Key Alignment Guide Data. The server computes a hash value, using the SHA-1 algorithm, of the key region identified in the alignment step. This hash value is compared with the value stored with the Key Data in the disc's entry in the Verification Table. If the values match exactly, the verification is successful, and the server constructs a Verified Response message. On the other hand, if the values do not match exactly, a Key Songprint is computed by the server.


In block 319, a Key Songprint is computed from the key region identified in the alignment step. An RMS difference is computed between the corresponding individual byte values of the songprint computed from the client-supplied data and the songprint that is stored with the Key Data in the disc's entry in the Verification Table. If the RMS difference is less than or equal to a predefined threshold value, the verification is successful and the process follows the Yes path from block 319 to block 321 where the server constructs a Verified Response message.


Returning to block 319, if the server determines the RMS difference exceeds the threshold, the process continues to block 323 and if one or more of the key candidates selected during Initial Request Processing have not yet been requested from the client, the process follows the Yes Path from block 323 to block 313 and the server proceeds to construct a new Verification Response message.


Returning to block 321, the Verified Response message is constructed by the server upon completion of a successful verification. The server includes identifying information for the verified disc including, for example, the disc's title and artist. Additional information is included as required by the overall application.


The server also computes the offset between the expected location of the key region within the enlarged key region and the actual location. This offset value is included in the Verified Response message to enable the client to adjust data read operations in future verifications. The server computes and encrypts authorization data, as required by the overall application, which the client can present to third-parties as credentials certifying that the disc has been verified. The Verified Response message is sent to the client.


Returning to block 323, if the RMS difference exceeds the threshold and all key candidates have been exhausted, the verification fails. The process then follows the No path to block 325 where a Not Verified Response message is constructed by the server upon failing to locate in the Identification Table an entry that acceptably matches the disc being verified.


The client may also be programmed to respond in a particular manner to any of the system's messages, including a Verified message, a Not Verified message, or a Not Found message. For example, if the CD is verified, the client may be programmed to display information about the CD, or to automatically play the CD.

Claims
  • 1. A system comprising: a plurality of network servers and a communications network for use in connecting said plurality of network servers with a plurality of user devices, said system further comprising:
  • 2. The system of claim 1, wherein the table of contents information comprises at least one length of digital content.
  • 3. The system of claim 1, wherein said at least one processor is further configured to request at least one of a plurality of regions of digitized content from the user device.
  • 4. The system of claim 3, wherein the request for one or more regions of digitized content is generated as a function of a pseudo-random sequence.
  • 5. The system of claim 4, wherein the pseudo-random sequence is a function of a network address of the user device.
  • 6. The system of claim 4, wherein the pseudo-random sequence is a function of a time of day.
  • 7. The system of claim 4, wherein the pseudo-random sequence is a function of both a network address of the user device and a time of day.
  • 8. The system of claim 4, wherein said at least one processor configured to request at least one of a plurality of regions of digitized content is further configured to request at least one of a plurality of decoy regions of digitized content from the user device.
  • 9. The system of claim 8, wherein the request for at least one of a plurality of decoy regions of digitized content is a function of a pseudo-random sequence.
  • 10. The system of claim 9, wherein the pseudo-random sequence is a function of a network address of the user device.
  • 11. The system of claim 9, wherein the pseudo-random sequence is comprising a function of a time of day.
  • 12. The system of claim 9, wherein the pseudo-random sequence is comprising a function of both a network address of the user device and a time of day.
  • 13. The system of claim 8, wherein the request for one or more than regions of digitized content is further comprised of only one non-decoy region of digitized content from the user device.
  • 14. The system of claim 1, wherein said verification database is further comprised of only one songprint identifier derived from the digitized content master.
  • 15. The system claim 1, wherein said at least one processor is further configured to verify whether the received table of contents information correlates with the table of contents information corresponding to any of the plurality of digitized content masters.
  • 16. The system of claim 1, wherein said at least one processor is further configured to verify whether the received table of contents information correlates perfectly with the table of contents information corresponding to any of the plurality of digitized content masters.
  • 17. The system of claim 1, wherein said at least one processor is further configured to verify whether the received songprint identifier correlates with the songprint identifier derived from any of the plurality of the digitized content masters.
  • 18. The system of claim 1, wherein said at least one processor is further configured to verify whether the received songprint identifier correlates perfectly with the master songprint identifier derived from any of the plurality of digitized content masters.
  • 19. The system of claim 1, wherein at least one of said plurality of network servers is coupled to a reader configured to read the digitized content master stored on a medium and the table of contents information corresponding to the digitized content master comprises at least one master table of contents identifier, said at least one processor is further configured to generate the table of contents identifier corresponding to a digitized content master stored on the medium, said at least one processor is further configured to: read table of contents data from the medium;compute a cryptographic hash value of the concatenation of the lengths of a plurality of tracks on the medium; andtruncate the cryptographic hash value.
  • 20. The system of claim 1, wherein each received songprint identifier is derived from a digitized content copy.
  • 21. The system of claim 20, wherein the received table of contents information and at least one songprint identifier corresponds to the digitized content copy, and wherein said at least one processor is further configured to use the received table of contents information and at least one songprint identifier to identify a correlation between a digitized content master having corresponding information stored in said verification database and the digitized content copy.
  • 22. The system of claim 21, wherein said at least one processor is further configured to verify the digitized content copy using information stored in said verification database corresponding to the correlated digitized content master.
  • 23. The system of claim 21, wherein said at least one processor is further configured to request at least one content portion of the digitized content copy using the identified correlation between one of the digitized content masters and the digitized content copy.
  • 24. A system comprising a plurality of network servers and a communications network for use in connecting said plurality of network servers with a plurality of user devices, said system comprising: a memory store comprising a verification database, said verification database comprising information corresponding to each of a plurality of digitized content masters, for each digitized content master said verification database comprising: table of contents information corresponding to the digitized content master;at least one songprint identifier derived from the digitized content master; andat least one processor coupled to said store, said at least one processor configured to:receive table of contents information from a user device of the plurality of user devices;receive at least one songprint identifier derived from digitized content at the user device; andas a function of whether or not the received selections of table of contents information correlate with any of the table of contents information of said verification database, request at least one of a plurality of regions of the digitized content from the user device.
  • 25. The system of claim 24, wherein said at least one processor is further configured to verify whether the received table of contents information correlates perfectly with table of contents information corresponding to any of the digitized content masters.
  • 26. A system comprising: a plurality of network servers and a communications network for use in connecting said plurality of network servers with a plurality of user devices, said system further comprising:
  • 27. The system of claim 26, wherein said at least one processor is further configured to verify whether the received songprint identifier correlates perfectly with any of the songprint identifiers of said verification database.
  • 28. A system comprising: a plurality of network servers and a communications network for use in connecting said plurality of network servers with a plurality of user devices, a network server further comprising:
  • 29. The system of claim 28, wherein said at least one processor is further configured to verify whether the received table of contents information correlate perfectly with any of the table of contents information of said verification database and the received at least one songprint identifier correlates perfectly with any of the songprint identifiers of said verification database.
  • 30. In a system comprising a communications network, at least one of a plurality of network servers comprised of a verification database comprising information corresponding to each of a plurality of digitized content masters, for each digitized content master said verification database comprising table of contents information corresponding to digitized content master and at least one songprint identifier derived from the digitized content master, and at least one of a plurality of user devices, the method of identifying digitized content stored on a medium comprising the steps: the network server receiving table of contents information from a user device of the plurality of user devices;the network server receiving at least one songprint identifier derived from digitized content at the user device; andthe network server determining whether or not to provide information authorizing play of the digitized content, said determining being made using said verification database, the received table of contents information and the received at least one of songprint identifier.
  • 31. The method of claim 30, further including the step of verifying whether one of the received selections of table of contents information correlates with any of the table of content identifiers of said verification database.
  • 32. The method of claim 30, further including the step of verifying whether the received table of contents information correlates perfectly with any of the table of contents information of said verification database.
  • 33. The method of claim 30, further including the step of verifying whether the received at least one songprint identifier correlates with any of the songprint identifiers of said verification database.
  • 34. The method of claim 30, further including the step of verifying whether the received at least one songprint identifier correlates perfectly with any of the songprint identifiers of said verification database.
US Referenced Citations (200)
Number Name Date Kind
3568156 Thompson Mar 1971 A
4384329 Rosenbaum May 1983 A
4833610 Zamora May 1989 A
5062143 Schmitt Oct 1991 A
5182708 Ejiri Jan 1993 A
5241674 Kuorsawa Aug 1993 A
5303150 Komeda Apr 1994 A
5303302 Burrows Apr 1994 A
5371807 Register Dec 1994 A
5392212 Geist Feb 1995 A
5404505 Levinson Apr 1995 A
5418951 Damashek May 1995 A
5497488 Akizawa Mar 1996 A
5499046 Schiller et al. Mar 1996 A
5539635 Larson, Jr. Jul 1996 A
5548507 Martino Aug 1996 A
5583763 Atcheson Dec 1996 A
5592511 Schoen Jan 1997 A
5608622 Church Mar 1997 A
5616876 Cluts Apr 1997 A
5661787 Pocock Aug 1997 A
5675786 McKee et al. Oct 1997 A
5678054 Shibata Oct 1997 A
5706365 Rangarajan Jan 1998 A
5708709 Rose Jan 1998 A
5713016 Hill Jan 1998 A
5721827 Logan Feb 1998 A
5726909 Krikorian Mar 1998 A
5740134 Peterson Apr 1998 A
5751672 Yankowski May 1998 A
5754938 Herz May 1998 A
5758257 Herz May 1998 A
5764235 Hunt Jun 1998 A
5774357 Hoffberg et al. Jun 1998 A
5790423 Lau et al. Aug 1998 A
5790935 Payton Aug 1998 A
5809246 Goldman Sep 1998 A
5819160 Foladare Oct 1998 A
5842010 Jain Nov 1998 A
5862220 Perlman Jan 1999 A
5862339 Bonnaure Jan 1999 A
5864868 Contois Jan 1999 A
5872921 Zahariev Feb 1999 A
5881234 Schwab Mar 1999 A
5883986 Kopec Mar 1999 A
5884312 Dustan Mar 1999 A
5898833 Kidder Apr 1999 A
5913040 Rakavy Jun 1999 A
5913041 Ramanathan Jun 1999 A
5926207 Vaughan Jul 1999 A
5930526 Iverson Jul 1999 A
5930768 Hooban Jul 1999 A
5931907 Davies Aug 1999 A
5941951 Day Aug 1999 A
5945988 Williams Aug 1999 A
5950189 Cohen Sep 1999 A
5956482 Agraharam Sep 1999 A
5960430 Haimowitz Sep 1999 A
5969283 Looney Oct 1999 A
5977964 Williams Nov 1999 A
5983176 Hoffert et al. Nov 1999 A
5987525 Roberts et al. Nov 1999 A
5996015 Day Nov 1999 A
6000008 Simcoe Dec 1999 A
6009382 Martino Dec 1999 A
6012098 Bayeh Jan 2000 A
6020883 Herz Feb 2000 A
6021203 Douceur et al. Feb 2000 A
6026398 Brown Feb 2000 A
6026439 Chowdhury Feb 2000 A
6029195 Herz Feb 2000 A
6031795 Wehmeyer Feb 2000 A
6035268 Carus Mar 2000 A
6038527 Renz Mar 2000 A
6038591 Wolfe Mar 2000 A
6047251 Pon Apr 2000 A
6047268 Bartoli Apr 2000 A
6047320 Tezuka Apr 2000 A
6047327 Tso Apr 2000 A
6052717 Reynolds Apr 2000 A
6061680 Scherf et al. May 2000 A
6064980 Jacobi May 2000 A
6065051 Steele et al. May 2000 A
6065058 Hailpern May 2000 A
6070185 Anupam May 2000 A
6085242 Chandra Jul 2000 A
6097719 Benash Aug 2000 A
6102406 Miles Aug 2000 A
6105022 Takahashi Aug 2000 A
6131082 Hargrave Oct 2000 A
6134532 Lazarus Oct 2000 A
6138142 Linsk Oct 2000 A
6154773 Roberts et al. Nov 2000 A
6161132 Roberts et al. Dec 2000 A
6161139 Win Dec 2000 A
6167369 Schulze Dec 2000 A
6182142 Win Jan 2001 B1
6185560 Young Feb 2001 B1
6192340 Abecassis Feb 2001 B1
6205126 Moon Mar 2001 B1
6222980 Asai Apr 2001 B1
6225546 Kraft May 2001 B1
6226618 Downs et al. May 2001 B1
6230192 Roberts et al. May 2001 B1
6230207 Roberts et al. May 2001 B1
6240459 Roberts et al. May 2001 B1
6246672 Lumelsky Jun 2001 B1
6249810 Kiraly Jun 2001 B1
6252988 Ho Jun 2001 B1
6263313 Milsted Jul 2001 B1
6272456 de Campos Aug 2001 B1
6272495 Hetherington Aug 2001 B1
6282548 Burner Aug 2001 B1
6292795 Peters Sep 2001 B1
6298446 Schreiber Oct 2001 B1
6314421 Sharnoff Nov 2001 B1
6317761 Landsman Nov 2001 B1
6321205 Eder Nov 2001 B1
6321221 Bieganski Nov 2001 B1
6330593 Roberts et al. Dec 2001 B1
6343317 Glorikian Jan 2002 B1
6353849 Linsk Mar 2002 B1
6370315 Mizuno Apr 2002 B1
6370513 Kolawa Apr 2002 B1
6389467 Eyal May 2002 B1
6389538 Gruse et al. May 2002 B1
6405203 Collart Jun 2002 B1
6430539 Lazarus Aug 2002 B1
6434535 Kupka et al. Aug 2002 B1
6438579 Hosken Aug 2002 B1
6487598 Valencia Nov 2002 B1
6490553 Van Thong Dec 2002 B2
6505203 Adler Jan 2003 B1
6512763 DeGolia, Jr. Jan 2003 B1
6513061 Ebata Jan 2003 B1
6522769 Rhoads et al. Feb 2003 B1
6526411 Ward Feb 2003 B1
6532477 Tang Mar 2003 B1
6535854 Buchner et al. Mar 2003 B2
6538996 West Mar 2003 B1
6557026 Stephens, Jr. Apr 2003 B1
6560403 Tanaka et al. May 2003 B1
6560704 Dieterman May 2003 B2
6587127 Leeke Jul 2003 B1
6611812 Hurtado et al. Aug 2003 B2
6611813 Bratton Aug 2003 B1
6614914 Rhoads Sep 2003 B1
6615208 Behrens Sep 2003 B1
6655963 Horvitz Dec 2003 B1
6657117 Weare Dec 2003 B2
6658151 Lee Dec 2003 B2
6661787 O'Connell Dec 2003 B1
6677894 Sheynblat Jan 2004 B2
6725446 Hahn Apr 2004 B1
6741980 Langseth May 2004 B1
6757740 Parekh Jun 2004 B1
6807632 Carpentier et al. Oct 2004 B1
6889383 Jarman May 2005 B1
6925441 Jones, III et al. Aug 2005 B1
6952523 Tanaka et al. Oct 2005 B2
20010005823 Fischer Jun 2001 A1
20010042107 Palm Nov 2001 A1
20010042109 Bolas Nov 2001 A1
20010044855 Vermeire Nov 2001 A1
20010052028 Roberts et al. Dec 2001 A1
20010055276 Rogers Dec 2001 A1
20020002039 Qureshey Jan 2002 A1
20020004839 Wine Jan 2002 A1
20020007418 Hegde Jan 2002 A1
20020010621 Bell Jan 2002 A1
20020010714 Hetherington Jan 2002 A1
20020010789 Lord Jan 2002 A1
20020013852 Janik Jan 2002 A1
20020016839 Smith Feb 2002 A1
20020035561 Archer Mar 2002 A1
20020045717 Grenda Apr 2002 A1
20020056004 Smith May 2002 A1
20020065857 Michalewicz May 2002 A1
20020082901 Dunning Jun 2002 A1
20020095387 Sosa Jul 2002 A1
20020099696 Prince Jul 2002 A1
20020099737 Porter Jul 2002 A1
20020111912 Hunter et al. Aug 2002 A1
20020129123 Johnson Sep 2002 A1
20020152204 Ortega Oct 2002 A1
20020175941 Hand Nov 2002 A1
20030002608 Glenn Jan 2003 A1
20030007507 Rajwan Jan 2003 A1
20030028796 Roberts et al. Feb 2003 A1
20030046283 Roberts Mar 2003 A1
20030083871 Foote May 2003 A1
20030093476 Syed May 2003 A1
20030133453 Makishima Jul 2003 A1
20030135513 Quinn et al. Jul 2003 A1
20030139989 Churquina Jul 2003 A1
20030165200 Pugel Sep 2003 A1
20030182139 Harris Sep 2003 A1
20030190077 Ross Oct 2003 A1
20030206558 Parkkinen Nov 2003 A1
20050149759 Vishwanath et al. Jul 2005 A1
Foreign Referenced Citations (30)
Number Date Country
A5303198 Feb 1997 AU
763380 Mar 2000 AU
0173639 May 1986 EP
0 847 156 Sep 1997 EP
1010098 Apr 1998 EP
1324567 Apr 1998 EP
0955592 Apr 1999 EP
0 955 592 Nov 1999 EP
1010098 Jun 2000 EP
1 050 833 Aug 2000 EP
1236354 Sep 2002 EP
1324567 Jul 2003 EP
2306869 Nov 1995 GB
11-514482 Dec 1999 JP
2001202368 Jul 2001 JP
2001521642 Nov 2001 JP
WO 9825269 Jun 1998 WO
WO 9847080 Oct 1998 WO
WO 9847080 Oct 1998 WO
WO 9927681 Jun 1999 WO
WO 9943111 Aug 1999 WO
WO 0046681 Feb 2000 WO
WO 0031964 Jun 2000 WO
WO 0046681 Aug 2000 WO
WO 0133379 Oct 2000 WO
WO 0135667 Nov 2000 WO
WO 0154323 Jan 2001 WO
WO 0173639 Oct 2001 WO
WO 0242862 May 2002 WO
WO 03012695 Feb 2003 WO
Related Publications (1)
Number Date Country
20020111993 A1 Aug 2002 US