Patents by Inventor Malcolm Slaney

Malcolm Slaney has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20090276468
    Abstract: A method of checking whether a content aggregator's content matches a content owner's content involves generating a fingerprint of the content and looking for a matching fingerprint from the content owner through a service provided by the content owner. In one aspect, the fingerprints are generated from an intermediate digest of the content instead of the original form.
    Type: Application
    Filed: May 1, 2008
    Publication date: November 5, 2009
    Applicant: YAHOO! INC.
    Inventors: Satish MENON, Malcolm SLANEY
  • Publication number: 20090228510
    Abstract: A method of generating congruous metadata is provided. The method includes receiving a similarity measure between at least two multimedia objects. Each multimedia object has associated metadata. If the at least two multimedia objects are similar based on the similarity measure and a similarity threshold, the associated metadata of each of the multimedia objects are compared. Then, based on the comparison of the associated metadata of each of the at least two multimedia objects, the method further includes generating congruous metadata. Metadata may be tags, for example.
    Type: Application
    Filed: March 4, 2008
    Publication date: September 10, 2009
    Applicant: YAHOO! INC.
    Inventors: Malcolm Slaney, Kilian Weinberger
  • Publication number: 20090210902
    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. In particular, the invention can be used to enable the display of targeted content to television viewers and/or targeted product placements within a television program. The invention can advantageously enable identification of the content observer(s) observing a content display device at a particular time and/or identification of the content display site, and selection of targeted content for display 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.
    Type: Application
    Filed: March 9, 2009
    Publication date: August 20, 2009
    Inventors: Malcolm Slaney, Bonnie M. Johnson, Annarosa Tomasi
  • Publication number: 20090160860
    Abstract: A method for deriving probabilistic association scores based on image content is provided. A bipartite graph is constructed based on a database of image content and associated textual content. One partition of the bipartite graph contains image content and the other partition of the bipartite graph contains textual content. Weighted edges between nodes in the two partitions represent associations between the image content and textual content in the database. Random walks on the bipartite graph are performed to derive probabilistic association scores between image content and textual content. Association scores are used to automatically annotate images and detect spurious image tags.
    Type: Application
    Filed: December 20, 2007
    Publication date: June 25, 2009
    Inventors: Malcolm Slaney, Srinivasan H. Sengamedu
  • Publication number: 20090164456
    Abstract: A method for expanding a query to include additional terms associated through visual content is provided. A bipartite graph is constructed based on a database of visual content and associated textual content. One partition of the bipartite graph contains visual content and the other partition of the bipartite graph contains textual content. Weighted edges between nodes in the two partitions represent associations between the visual content and textual content in the database. Random walks on the bipartite graph are performed to derive probabilistic association scores between textual content that are indirectly associated with each other through visual content. The query is expanded to include additional terms whose equivalent textual content is highly associated with the query's equivalent textual content.
    Type: Application
    Filed: December 28, 2007
    Publication date: June 25, 2009
    Inventors: Malcolm Slaney, Srinivasan H. Sengamedu
  • Publication number: 20090164904
    Abstract: Methods, apparatuses and systems directed to summarizing video or other multimedia content based on the blogging activities of one or more users. In one implementation, a user may select a video and one or more blogs that annotate various segments of the video. A user may specify one or more desired attributes of the blog or comment entries, which a system processes to create an edit decision list. The edit decision list can be used to generate a summarized version of the multimedia content that includes the content segments associated with blog entries that meet the desired attributes.
    Type: Application
    Filed: December 21, 2007
    Publication date: June 25, 2009
    Applicant: Yahoo! Inc.
    Inventors: Steven Horowitz, Marc Davis, Malcolm Slaney
  • Publication number: 20090164484
    Abstract: Methods, apparatuses and systems directed to filtering comments presented to users in connection with multimedia content, such as video and audio content. In a particular implementation, there are two types of users of this system. A writer comments on sections of a real-time multimedia stream, while readers or viewers observe the discussion embodied by the comments that are displayed.
    Type: Application
    Filed: December 21, 2007
    Publication date: June 25, 2009
    Applicant: Yahoo! Inc.
    Inventors: Steven Horowitz, Marc Davis, Malcolm Slaney
  • Publication number: 20090157576
    Abstract: Techniques are described herein for determining a distractibility measure for an item to be displayed on a display. The distractibility measure for an item is determined based on the individual distractibility measures for one or more of: the static distraction of the item, the onset response of the item, the optic-flow motion of the item, and the change in velocity of objects in the item. Each individual distractibility measure can be further multiplied by a weighting factor which affects the composition of the distractibility measure for the item. The distractibility measure for the item can be further based on the size of the item, how far away the item is from a primary content on the display, and the distractibility measure of the primary content on the display. The distractibility measure for the item can be compared to a maximum level of distractibility for automatically determining whether the item should be displayed on the display.
    Type: Application
    Filed: December 17, 2007
    Publication date: June 18, 2009
    Inventors: Malcolm Slaney, Srinivasan H. Sengamedu
  • Publication number: 20090063971
    Abstract: Systems and methods for presenting media information to users that fosters discovery of new media and a media discovery interface are disclosed. Media objects such as songs are analyzed to determine a set of three or more objective characteristics that describe the media object. Icons representing the media objects are then presented to a user in display illustrating a three-dimensional space in which each dimension corresponds to a different characteristic and the icons are located within the three-dimensional space based on their characteristics. In this way, media objects having similar characteristics are located near each other within the three-dimensional space allowing the user to see and access similar media objects quickly and easily. Because the display does not rely on previously-generated metadata, the user may be shown media objects that have never been classified by users or which are relatively unknown to the general population of users.
    Type: Application
    Filed: August 31, 2007
    Publication date: March 5, 2009
    Applicant: Yahoo! Inc.
    Inventors: William WHITE, Malcolm Slaney
  • Publication number: 20090063414
    Abstract: Systems and methods for generating and playing a sequence of media objects based on a mood gradient are also disclosed. A mood gradient is a sequence of items, in which each item is media object having known characteristics or a representative set of characteristics of a media object, that is created or used by a user for a specific purpose. Given a mood gradient, one or more new media objects are selected for each item in the mood gradient based on the characteristics associated with that item. In this way, a sequence of new media objects is created but the sequence exhibits a similar variation in media object characteristics. The mood gradient may be presented to a user or created via a display illustrating a three-dimensional space in which each dimension corresponds to a different characteristic. The mood gradient may be represented as a path through the three-dimensional space and icons representing media objects are located within the three-dimensional space based on their characteristics.
    Type: Application
    Filed: August 31, 2007
    Publication date: March 5, 2009
    Applicant: Yahoo! Inc.
    Inventors: William WHITE, Malcolm Slaney
  • Publication number: 20090055376
    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.
    Type: Application
    Filed: August 21, 2007
    Publication date: February 26, 2009
    Applicant: Yahoo! Inc.
    Inventors: Malcolm Slaney, William White
  • Publication number: 20090049091
    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.
    Type: Application
    Filed: August 13, 2007
    Publication date: February 19, 2009
    Applicant: Yahoo! Inc.
    Inventors: Malcolm SLANEY, William White
  • Publication number: 20090049082
    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.
    Type: Application
    Filed: August 21, 2007
    Publication date: February 19, 2009
    Applicant: Yahoo! Inc.
    Inventors: Malcolm Slaney, William White
  • Publication number: 20080228587
    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.
    Type: Application
    Filed: March 14, 2007
    Publication date: September 18, 2008
    Inventors: Malcolm Slaney, Dennis Martin DeCoste, Ian C. Rogers, Michael Spiegelman
  • Publication number: 20080147500
    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.
    Type: Application
    Filed: December 15, 2006
    Publication date: June 19, 2008
    Inventors: Malcolm Slaney, Ben Marlin
  • Publication number: 20080109284
    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.
    Type: Application
    Filed: October 9, 2007
    Publication date: May 8, 2008
    Inventors: Malcolm Slaney, Bonnie Johnson, Annarosa Tomasi, Matthew Humphries
  • Publication number: 20080104111
    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.
    Type: Application
    Filed: October 27, 2006
    Publication date: May 1, 2008
    Applicant: Yahoo! Inc.
    Inventors: Malcolm Slaney, William White
  • Publication number: 20070033057
    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.
    Type: Application
    Filed: October 12, 2006
    Publication date: February 8, 2007
    Inventors: Michele Covell, Malcolm Slaney, Arthur Rothstein
  • Patent number: 7143047
    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.
    Type: Grant
    Filed: September 17, 2004
    Date of Patent: November 28, 2006
    Assignee: Vulcan Patents LLC
    Inventors: Michele M. Covell, Malcolm Slaney, Arthur Rothstein
  • Patent number: 7137062
    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.
    Type: Grant
    Filed: December 28, 2001
    Date of Patent: November 14, 2006
    Assignee: International Business Machines Corporation
    Inventors: James H. Kaufman, Dulce Beatriz Ponceleon, Malcolm Slaney