Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system for controlling the presentation of audio-video programmes has an input for receiving audio-video programmes. A data comparison unit is arranged to produce at intervals throughout the programme a value for each of f features of the audio-video and then to derive from the features a metadata value, the metadata value having M dimensions, the number of dimensions being smaller than the number of features. A threshold is applied to the metadata value to determine points of interest within the audio-video programmes and a controller is arranged to control retrieval and playback of the programmes using the interesting points.

Abstract: A system for processing audio-video metadata for each of multiple portions of AV content to produce an output signal for an individual user, comprises an input for receiving multi-dimensional metadata having M dimensions for each of the portions of AV content and for receiving individual parameters for one or more of the M dimensions for the individual user. An input is arranged to receive general parameters for each of the M dimensions. A processor is arranged to determine a rating value for the individual for each portion of AV content as a function of the multi-dimensional metadata, the individual parameters and the general parameters to produce an output signal, wherein the function includes determining if a confidence value for each individual parameter is above a threshold and an output is arranged to assert the output signal.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: At an apparatus (200), 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 (200), the apparatus (200) determines a first vector (m1(Dat)) descriptive of a relationship between the music content and all selected music attributes (Attr) and a second vector (m2(Dat)) and outputs a classification information related to the music file and containing the first and second vectors (m1(Dat), m2(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.

Abstract: 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.

Abstract: In a video editing apparatus (100) 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.

Abstract: 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.

Abstract: 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.

Abstract: At an apparatus (200), 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 (200), the apparatus (200) determines a first vector (m1(Dat)) descriptive of a relationship between the music content and all selected music attributes (Attr) and a second vector (m2(Dat)) and outputs a classification information related to the music file and containing the first and second vectors (m1(Dat), m2(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.

Abstract: 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.

Abstract: 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.