Abstract: The systems and methods described create a mathematical representation of each of the media objects for which user ratings are known. The mathematical representations take into account the subjective rating value assigned by a user to the respective media object and the user that assigned the rating value. The media object with the mathematical representation closest to that of the seed media object is then selected as the most similar media object to the seed media object. In an embodiment, the mathematical representation is a vector representation in which each user is a different dimension and each user's rating value is the magnitude of the vector in that dimension. Similarity between two songs is determined by identifying the closest vectors to that of the seed song. Closeness may be determined by subtracting or by calculating the dot product of each of the vectors with that of the seed media object.

Abstract: The systems and methods described create a mathematical representation of each of the media objects for which user ratings are known. The mathematical representations take into account the subjective rating value assigned by a user to the respective media object and the user that assigned the rating value. The media object with the mathematical representation closest to that of the seed media object is then selected as the most similar media object to the seed media object. In an embodiment, the mathematical representation is a vector representation in which each user is a different dimension and each user's rating value is the magnitude of the vector in that dimension. Similarity between two songs is determined by identifying the closest vectors to that of the seed song. Closeness may be determined by subtracting or by calculating the dot product of each of the vectors with that of the seed media object.

Abstract: The systems and methods described create a mathematical representation of each of the media objects for which user ratings are known. The mathematical representations take into account the subjective rating value assigned by a user to the respective media object and the user that assigned the rating value. The media object with the mathematical representation closest to that of the seed media object is then selected as the most similar media object to the seed media object. In an embodiment, the mathematical representation is a vector representation in which each user is a different dimension and each user's rating value is the magnitude of the vector in that dimension. Similarity between two songs is determined by identifying the closest vectors to that of the seed song. Closeness may be determined by subtracting or by calculating the dot product of each of the vectors with that of the seed media object.

Abstract: An online music system includes a music database configured to store musical selections and to store a user profile for respective users of the online music system, an advertiser account management system to store bid amounts from advertisers seeking to provide information to the users of the online music system and a user recommendation system coupled to the music database to present information about musical selections to respective users based on the stored user profile and the stored bid amounts.

Abstract: A collaborative-filtering based combination model is used to select advertisements to serve to a current network user. The combination model comprises a plurality of vectors, each vector comprising ratings for entertainment items and ratings for advertisements (or advertisement categories) from a previous network user. A vector may also include ratings for demographic information of the previous network user. Upon receiving one or more entertainment item ratings (and optionally demographic ratings) of a current user, the combination model is used to select one or more advertisements to serve to the current user. A representative vector in the combination model is determined having entertainment item ratings (and optionally demographic ratings) that are most similar to the corresponding entertainment item ratings (and optionally demographic ratings) of the current user.

Abstract: Displaying personalized content to content observers by content providers (e.g., advertisers) who disseminate content over a network is disclosed. In particular, enabling the display of targeted content to television viewers is disclosed. Identification of the content observer(s) observing a content display device at a particular time (and/or identification of the content display site) is made, and targeted content for display is selected based on a determination of content appropriate for display to those content observer(s) in accordance with a criterion based on the identity and/or a characteristic of the content observer(s) (and/or the content display site). The attention of each content observer can be sold to the content provider that places the highest value on that content observer's attention. In particular, the value paid by content providers over time can be maximized.

Abstract: Recommendation systems and methods are disclosed that objectively determine similarities between products and quantify diversity between products for use in generating recommendations. The product interests, such as musical interests, of a user are measured based on objective characteristics of the product. Then the interests are modeled by a distribution. The resulting distribution is then used as a measure of the diversity of the user's tastes. Based on the diversity and the characteristics of other products, recommendations are then made to the user. The systems and methods may also utilize subjective information as a secondary filter to add or remove products for which such data is known.

Abstract: A data-compressed audio waveform is temporally modified without requiring complete decompression of the audio signal. Packets of compressed audio data are first unpacked, to remove scaling that was applied in the formation of the packets. The unpacked data is then temporally modified, using one of a number of different approaches. This modification takes place while the audio information remains in a data-compressed format. New packets are then assembled from the modified data, to produce a data-compressed output stream that can be subsequently processed in a conventional manner to reproduce the desired sound. The assembly of the new packets employs a technique for inferring an auditory model from the original packets, to requantize the data in the output packets.

Abstract: A data-compressed audio waveform is temporally modified without requiring complete decompression of the audio signal. Packets of compressed audio data are first unpacked, to remove scaling that was applied in the formation of the packets. The unpacked data is then temporally modified, using one of a number of different approaches. This modification takes place while the audio information remains in a data-compressed format. New packets are then assembled from the modified data, to produce a data-compressed output stream that can be subsequently processed in a conventional manner to reproduce the desired sound. The assembly of the new packets employs a technique for inferring an auditory model from the original packets, to requantize the data in the output packets.

Abstract: A system and method for automatically generating a hierarchical table of contents or outline for indexing a document and identifying clusters of related information in the document. The document may comprise text, audio, video, or a multimedia presentation. The invention employs a unique and novel combination of latent semantic indexing techniques to identify related blocks and major topic changes within the document with scale space segmentation techniques to respectively identify self-similar blocks within the document and to thus find topic changes of various sizes at block edges. The invention then produces a visual presentation of the semantic structure of the document.

Abstract: A method and system for displaying advertisements. The advertisements are displayed on a television having a controlled connected thereto and configured for receiving commands from a viewer of the television. The method includes displaying a first advertisement on the television, receiving a command from the viewer of the television to display a second advertisement, the second advertisement being a variant of the first advertisement, and displaying the second advertisement on the television.

Abstract: The estimation of an HRTF for a given individual is accomplished by means of a coupled model, which identifies the dependencies between one or more images of readily observable characteristics of an individual, and the HRTF that is applicable to that individual. Since the HRTF is highly influenced by the shape of the listener's outer ear, as well as the shape of the listener's head, images of a listener which provides this type of information are preferably applied as an input to the coupled model. In addition, dimensional measurements of the listener can be applied to the model. In return, the model provides an estimate of the HRTF for the observed characteristics of the listener.

Abstract: The estimation of an HRTF for a given individual is accomplished by means of a coupled model, which identifies the dependencies between one or more images of readily observable characteristics of an individual, and the HRTF that is applicable to that individual. Since the HRTF is highly influenced by the shape of the listener's outer ear, as well as the shape of the listener's head, images of a listener which provides this type of information are preferably applied as an input to the coupled model. In addition, dimensional measurements of the listener can be applied to the model. In return, the model provides an estimate of the HRTF for the observed characteristics of the listener.

Abstract: The invention enables and/or facilitates the display of personalized content to content observers by content providers (e.g., advertisers) who disseminate content over a network. The invention enables identification of particular content observers at a content display site using analysis of content observation behavior at a content display site, data regarding one or more physical characteristics of content observers in the vicinity of the content display device during display of particular content, and/or analysis of demographic characteristics of possible content observers at the content display site. The invention prevents unauthorized access to data produced as part of identification of the content observer.

Abstract: A data-compressed audio waveform is temporally modified without requiring complete decompression of the audio signal. Packets of compressed audio data are first unpacked, to remove scaling that was applied in the formation of the packets. The unpacked data is then temporally modified, using one of a number of different approaches. This modification takes place while the audio information remains in a data-compressed format. New packets are then assembled from the modified data, to produce a data-compressed output stream that can be subsequently processed in a conventional manner to reproduce the desired sound. The assembly of the new packets employs a technique for inferring an auditory model from the original packets, to requantize the data in the output packets.

Abstract: A data-compressed audio waveform is temporally modified without requiring complete decompression of the audio signal. Packets of compressed audio data are first unpacked, to remove scaling that was applied in the formation of the packets. The unpacked data is then temporally modified, using one of a number of different approaches. This modification takes place while the audio information remains in a data-compressed format. New packets are then assembled from the modified data, to produce a data-compressed output stream that can be subsequently processed in a conventional manner to reproduce the desired sound. The assembly of the new packets employs a technique for inferring an auditory model from the original packets, to requantize the data in the output packets.

Abstract: A system and method for automatically generating a hierarchical table of contents or outline for indexing a document and identifying clusters of related information in the document. The document may comprise text, audio, video, or a multimedia presentation. The invention employs a unique and novel combination of latent semantic indexing techniques to identify related blocks and major topic changes within the document with scale space segmentation techniques to respectively identify self-similar blocks within the document and to thus find topic changes of various sizes at block edges. The invention then produces a visual presentation of the semantic structure of the document.

Abstract: A system and a corresponding method for temporal modification of audio signals, to increase or reduce the playback rates of an audio and/or a video file in a client-server environment. The system and method improve the efficiency of serving streaming media to a client so that the client can select an arbitrary time-speedup factor. The speedup system performs many of the pre-calculations once, at the server, so that the bandwidth needs are reduced and the client's computational load is minimized. The final time-scale-modification can be either done completely on the server, thus reducing the client's needs, or partly on the client's computer to minimize latency, and to reduce on-the-fly computational load from the server that serves multiple clients concurrently.

Abstract: The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set.

Abstract: A method and system for displaying advertisements. The advertisements are displayed on a television having a controlled connected thereto and configured for receiving commands from a viewer of the television. The method includes displaying a first advertisement on the television, receiving a command from the viewer of the television to display a second advertisement, the second advertisement being a variant of the first advertisement, and displaying the second advertisement on the television.