Catalogue technologique

Téléchargez le Catalogue Technologique en pdf ici.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
    ircamchord-1
    Ircamchord software estimates automatically the temporal succession of music chords (C-Major, C-minor, …) that makes up a piece of music. Lire la suite
     

    Target users and customers

    One of the most important perceptual aspects of popular music is the succession of chords over time. Two tracks based on the same chord succession are perceived very similar and sometimes indicate a cover-version of the same composition. Automatic estimation of chord succession can therefore be used to perform search by similarity and play-list generation.
    It can therefore benefit to music providers, online music portals.

    Chord notation is also very popular for beginner musicians (a very large amount of guitar tabs are accessible and used over the web). Estimating automatically the chord succession of a given track can therefore be beneficial for personal users through the inclusion of the technology in local software.

    Application sectors

    • Online music providers
    • Online music portals
    • Music players developers
    • Music software developers
     
    Q-Tech-Technicolor-ViolentScenesDetection-visuel
    Violent Scenes Detection – automatically detects violent scenes in movies Lire la suite
     

    Target users and customers

    All content providers may be interested in the violent scenes detection technology to manage efficiently their content database. In particular, the violent scenes detection technology is an interesting feature for VOD services, as it may help users select a movie suitable for the entire family.

    Application sectors

    • Content structuring & browsing: Knowing where the most violent scenes are in a movie gives direct access to these events, thus enabling a non linear browsing in the document.
    • Content retrieval: By adding additional metadata to contents (i.e., timecodes of violent scenes), the module finds a direct application in the context of content retrieval in videos databases.
     
    ocr
    Recognition of handwritten text transforms handwritten text into machine-readable text on a computer. Lire la suite
     

    Target users and customers

    • Researchers
    • Developers
    • Integrators

    Application sectors

    Recognition of printed or handwritten text is heavily used in the mass processing of paper mail, filled-out forms and letters e.g. to insurance companies, and has been covered by the media in connection with the mass digitization of books. New usage patterns will evolve from the better coverage of handwriting and difficult font systems like Arabic or Chinese and from the recognition of text in any form of image data that due to digital cameras and the Internet, is being produced and distributed in ever increasing volumes.

     
    AlvisAE-biotope
    Alvis Annotation Editor Lire la suite
     

    Target users and customers

    With AlvisAE, remote users display annotated documents in their web browser and manually create new annotations over the text and share them.

    Application sectors

    • Any sector using text documents
    • Information Extraction
    • Contents analysis
     
    Q-Tech-MOVEA-Movea-visuel
    Motion processing engine for Interactive TV Lire la suite
     

    Target users and customers

    • Systems integrators
    • OEMs
    • Service providers
    • Application developers to take advantage of Movea’s state-of-the-art motion processing technology

    Application sectors

    • Man-machine interactions
    • Remote control
    • Digital TV
    • Video Games
    • Peripherals
    • Smart Home
     
    Q-Tech-Technicolor-CrowdSourcedMetadata-visuel
    Automatically tags media content according to what the crowd says of it over the Web Lire la suite
     

    Target users and customers

    • Professional customers:
      • Content owners
      • Content providers
      • Service providers
    • Consumers

    Application sectors

    • Content targeting
    • Content recommending
    • Content retrieving
    • Content discovering
    • Content browsing
    • Content replaying

    Web contributors’ reviews and comments posted on dedicated web sites have proven to embed cleverness from which valuable descriptive metadata can be extracted. These descriptive metadata, while being synchronized with the content timeline or not, help any of the above usages and services about content. Furthermore, these associated metadata raise the value of the related content over time, which is of interest to content owners as well as to content providers.

     
    Q-Tech-Technicolor-MovieChaptering-visuel
    An Automatic temporal segmentation of video Lire la suite
     

    Target users and customers

    • Content providers
    • ISP (Internet Service Provider)
    • Video editing software companies

    Application sectors

    • Video structuring
    • Video archiving
     
    Q-Tech-Jouve-IImageClusterizationSystem-visuel
    A generic tool to perform automatic clustering of scanned images Lire la suite
     

    Target users and customers

    Everyone who has to group a large set of images in such a way that images in the same group are more similar to each other than to those in other groups, like for instance, in incoming mail processing.

    Application sectors

    • Banking
    • Insurance
    • Industry
     
    Q-Tech-Jouve-ColorimetricCorrectionSystem
    A specific tool to create a suitable colorimetric correction and check its stability over time Lire la suite
     

    Target users and customers

    Everyone who has to deal with highcolorimetric constraints.

    Application sectors

    • Patrimony
    • Industry
     
    Alignement_LPO-v2
    Audio and Text synchronization tool Lire la suite
     

    Target users and customers

    • E-editors
    • Media content producers
    • Media application developers
    • Search interface integrators

    Application sectors

    • Public/Private debates and conference: E.g. Parliament, Meetings
    • E-learning/E-books: E.g. Audiobook
    • Media Asset Management: E.g. Search in annotated media streams (TV, radio, films…)
     
 
 
Démonstrateurs applicatifs