Abstract:
A method of annotating footage that includes a structured text broadcast stream, a video stream and an audio stream, comprising the steps of: extracting directly or indirectly one or more keywords and/or features from at least said structured text broadcast streams, temporally annotating said footage with said keywords and/or features analysing temporally adjacent annotated keywords and/or features to determine information about one or more events within said footage. Also a data store for storing video footage, a method of generation of a personalised video summary, a system for annotating footage and a system for generation of a personalised video summary.
Abstract:
The invention relates to content-based audio/musing retrieval and other content-based multimedia information retrieval. In one aspect the present invention provides a method of representing audio/musical information in a digital representation suitable for use in content-based information indexing and retrieval including the steps of: determining a first representation including a set of peaks and valley corresponding to maximum and minimum values respectively of at least one characteristic of the audio/music, and; determining a second representation including values representing relative differences between peaks and valleys. The invention presents a method and a system for content-based music retrieval. A musing score database is constructed to provide a unique representation of real music songs. Score keywords are extracted from the music score as the features of the musing songs. This invention also provides a method to automatically convert the queries inputted by humming into query keywords. The extracted query keywords will be matched with the existing score keywords in the music score database to retrieve the relevant music songs. Since there is an exact correspondence between the music scores and actual music songs, the retrieval accuracy will be greatly improved compared with other low-level feature based music retrieval methods.
Abstract:
A method and system of event detection in a video stream, comprising the steps of: detecting a text event in a casting text stream external to the video; and identifying a corresponding video event in the video stream based on the detected text event.
Abstract:
There is provided a method for automatically creating a music video thumbnail (50) from a music video signal (12). The music video signal is separated into a music signal (16) and a video signal (18). The music signal is analysed by detecting similarity regions and the sections of the music signal corresponding to the chorus are extracted (20). The video signal is analysed by detecting repeated lyrics (34). The extracted chorus sections from the music signal and the sections of the video signal containing repeated lyrics are then matched. A matched pair is then selected for use in the music video thumbnail and the timing of the pair are aligned (42) to form the thumbnail.
Abstract:
A method for use in indexing video footage, the video footage comprising an image signal and a corresponding audio signal relating to the image signals, the method comprising extracting audio features from the audio signal of the video footage and visual features from the image signal of the video footage; comparing the extracted audio and visual features with predetermined audio and visual keywords; identifying the audio and visual keywords associated with the video footage based on the comparison of the extracted video and visual features with the predetermine audio and visual keywords; and determining the presence of events in the video footage based on the audio and visual keywords associated with the video footage.
Abstract:
A method and system for generating replays of an event for broadcast video. The method comprises the steps of receiving a video feed, automatically detecting said event from said camera video feed, generating a replay video of said event, and generating broadcast video incorporating said replay. Optionally, the replay video is automatically generated. Optionally, the replay is automatically incorporated into said broadcast video.
Abstract:
An embodiment is related to automatic summarization for digital audio raw data (12), more specifically, for identifying pure music and vocal music (40,60) from digital audio data by extracting distinctive features from music frames (73,74,75,76), designing a classifier and determining the classification parameters (20) using adaptive learning/training algorithm (36), and identifying music into pure music or vocal music according to the classifier. For pure music, temporal, spectral and cepstral features are calculated to characterise the musical content, and an adaptive clustering method is used to structure the musical content according to calculated features. The summary (22,24,26,48,52,70,72) is created according to clustered result and domain-based music knowledge (50,150). For vocal music, voice related features are extracted and used to structure the musical content, and similarly, the music summary is created in terms of structured content and heuristic rules related to music genres.
Abstract:
An apparatus for determining likelihood that a candidate commercial boundary is a commercial boundary comprises a boundary classifier. A boundary classifier determines whether a candidate video frame comprises product information, and determines a likelihood the candidate commercial boundary is a commercial boundary in dependence of a determination the candidate video frame comprises product information. Another apparatus for classifying a commercial video broadcast comprises a proxy document identifier to identify a proxy of a commercial video broadcast. The apparatus also includes a training module for compiling training data from a corpus of training documents and a classifier module, trained by the training data, to classify the commercial video broadcast from an examination of data from the proxy document.
Abstract:
The present invention presents a method and system for controlling usage and protecting against copying of digital multimedia content (such as audio, video, image, and document) and their associated players or readers. The system is arranged so that digital content and their players or readers that are installed in one computer or device cannot be used if they are copied to another computer or device. The system may also be arranged so that duplicated digital content is not usable in the same computer or device. Usage data associated with each item of digital content may restrict the running time during which the content can be used and may be updated automatically after each usage of the content. The content may not be accessible if its permitted usage has expired.