Sony Corporation

Sony Deutschland Gmbh

British Broadcasting Corporation

Jana Eggink

Thomas Kemp

Wilhelm Hagg

Franck Giron

Taufan Zimmer

Tomasz Feduszczak

Javier Alonso Garcia

Benjamin Richard Clark

Niko Schenk

Daniel Duran

Methods and apparatus for identifying one or more locations of a video clip within video content. In embodiments, a method comprises producing segments of the video clip, comparing the segments of the video clip to segments of the video content, and producing a first measure of similarity of the video clip to the video content at relatively displaced temporal positions. A method can further include filtering and comparing to identify, from a second measure of similarity, the one or more locations of the video clip within the video content.

Video search system and method

A method for determining a sentiment, including determining, from a text including formatting information related to parts of the text, a sentiment expressed by at least one of the parts, wherein the sentiment is determined automatically using a microprocessor and depends on formatting information related to the at least one of the parts.

Method for determining a sentiment from a text

A method for personalizing a multimedia application includes receiving, from a module of the multimedia application, a request for a multimedia output, wherein the request is of a type; providing user data of a user of the multimedia application, the user data being representative of a personal taste of the user; and determining a multimedia output depending on the type and the user data.

Method and device for personalizing a multimedia application

A method for content recommendation for a user, wherein a song or a video is recommended to the user and a confidence measure is determined for the recommended song. The confidence measure is displayed to the user, so the user may get more confidence into the recommendation of the system.

Method, system and device for content recommendation

Method for determining a sequence of audio pieces, comprising receiving a set of audio pieces, and determining the sequence of audio pieces by arranging audio pieces from the set in an order; wherein a position of a respective audio piece within the order is determined based on a user's personal profile, the user's personal profile includes rules descriptive of the user's preferences, the rules relating to attributes including meta data attributes and/or acoustic parameters of audio pieces, and wherein the position of the respective audio piece is determined depending on one of the attributes of the respective audio piece according to one of the rules.

Personalized playlist arrangement and stream selection

At an apparatus (), which may be a consumer electronic device, the user may select a predetermined number of different music attributes (Attr) descriptive of a mood delivered by music represented by music content of a music file. From parameters of a music file available in the apparatus (), the apparatus () determines a first vector (m(Dat)) descriptive of a relationship between the music content and all selected music attributes (Attr) and a second vector (m(Dat)) and outputs a classification information related to the music file and containing the first and second vectors (m(Dat), m(Dat)). The classification information may be used to assign a colour to a displayed object assigned to the music file. Perceptually similar music files may be displayed in similar colours.

Apparatus and method for classifying, displaying and selecting music files

Method for content recommendation

Method for deriving at least one animation parameter from audio data, said animation parameters being descriptive of the mood of said audio data, comprising the following steps: determining a current mood model for said audio data; calculating at least one distance measure for at least one reference mood model, wherein said distance measure represents the distance between said current mood model and the respective reference mood model; setting of at least one animation parameter depending on said distance measure.

Method for deriving animation parameters and animation display device

In a video editing apparatus () a first video data set describes a first scene in a first video. Among second video data sets describing second scenes contained in a plurality of second videos, third video data sets are identified that represent third scenes having the highest degree of similarity with the first scenes. Audio data sets associated with the third scenes are evaluated. Among a plurality of second audio data sets such audio data sets describing soundtracks having the highest degree of similarity with the first soundtracks may be identified. One of the third audio data sets may be combined with the first video data set to generate a media output data set where an audio track is added to the video data set in accordance with the preferences of the user.

Image/video data editing apparatus and method for generating image or video soundtracks

Embodiments of the invention relate to a method for video retrieval by providing a first audio video file, determining a first identifier of a first piece of music in the first audio video file, looking up for the first identifier first meta data in a music database, in which said first meta data are associated with said first identifier, providing second meta data of a second piece of music from the music database. The second piece of music is included in a second audio video file. Further the method is conducted by determining a similarity measure by comparing the first and second meta data, and providing the second audio video file or an identifier thereof depending on the similarity measure. Further embodiments relate to a server, a user device and a system and a computer program product for video retrieval.

Context based video finder

Methods for music structure analysis of a piece of music includes determining predetermined features for a plurality of sections of the piece of music. The sections are longer than a shortest time span corresponding to a meaningful part of the piece of music. At least two sections are compared based on the predetermined features, and a chorus of the piece of music is determined based on a comparison result of the comparing. First and second groups of the sections are determined, such that a similarity among sections of the first and second groups lie within respective first and second ranges. The first range has a higher level than the second range.

Method for music structure analysis

Method for providing an overview of pieces of music, comprising: providing at least two pieces of music; determining at least two sections of said pieces of music, wherein one of said sections is determined from one of said pieces of music and another of said sections is determined from another of said pieces of music; and arranging said sections in a sequence.

Growing community of inventors

Stuttgart, Germany

Jana Eggink