Catalogue technologique

Téléchargez le Catalogue Technologique en pdf ici.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
    visuel KIT_speech to text
    Transcription of human speech into written word sequences Lire la suite
     

    Target users and customers

    Companies who want to integrate the transcription of human speech into their products.

    Application sectors

    Speech-to-Text technology is key to indexing multimedia content as it is found in multimedia databases or in video and audio collections on the World Wide Web, and to make it searchable by human queries. In addition, it offers a natural interface for submitting and executing queries.

    This technology is further part of speech-translation services. In combination with machine translation technology, it is possible to design machines that take human speech as input and translate it into a new language. This can be used to enable human-to-human combination across the language barrier or to access languages in a cross-lingual way.

     
    Q-Tech-INRIA-IRINTS-visuel
    Topic segmentation of automatic speech transcripts Lire la suite
     

    Target users and customers

    The targeted users and customers are the multimedia industry actors, and any content and service provider with speech data.

    Application sectors

    • Spoken document processing
     
    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.

     
    Q-Tech-INRA-ALVISIR-visuel
    Semantic document indexing and search engine framework Lire la suite
     

    Target users and customers

    Domain-specific communities, especially technical and scientific, willing to build search  engines and information systems to manage documents with fine-grained semantic annotations.

    Application sectors

    Search engines and information systems development.

     
    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.
     
    Corinat_LPO-v2
    Language Resources production infrastructure Lire la suite
     

    Target users and customers

    • Linguistic resources providers
    • Audio content transcribers; Media transcribers
    • Speech processing users and developers

    Application sectors

    • Language resources production
    • Speech technology industry
    • Media subtitling, conferences and meetings transcription services
     
    KIT-multimedia-demo-settings
    Identifying actors in movies and TV series Lire la suite
     

    Target users and customers

    • Multimedia Content Providers
    • Movie/TV Streaming Providers
    • Movie/TV Industry Actors

    Application sectors

    • Movie/TV Streaming & Playback
    • Second Screen
     
    Q-Tech-Jouve-ImageResizing-visuel
    A specific tool for recreating matter that was lost during the scanning process of bonded books. Lire la suite
     

    Target users and customers

    Everyone who has to deal with high quality reproduction of bonded books.

    Application sectors

    • Heritage scanning
    • Printing
     
    Q-Tech-Vocapia-automatic speechtranscription-visuel
    Vocapia Research develops core multilingual large vocabulary speech recognition technologies* for voice interfaces and automatic audio indexing applications. This speech-to-text technology is available for multiple languages. (* Under license from LIMSI-CNRS) Lire la suite
     

    Target users and customers

    The targeted users and customers of speech-to-text transcription technologies are actors in the multimedia and call center sector, including academic and industrial organizations interested in the automatic mining processing of audio or audiovisual documents.

    Application sectors

    This core technology can serve as the basis for a variety of applications: multilingual audio indexing, teleconference transcription, telephone speech analytics, transcription of speeches, subtitling…

    Large vocabulary continuous speech recognition is the key technology for enabling content-based information access in audio and audiovisual documents. Most of the linguistic information is encoded in the audio channel of audiovisual data, which once transcribed can be accessed using text-based tools.

    Via speech recognition, spoken document retrieval can support random access using specific criteria to relevant portions of audio documents, reducing the time needed to identify recordings in large multimedia
    databases. Some applications are data-mining, news-on-demand, and
    media monitoring.

     
    Q-Tech-SYNAPSE-NE-visuel
    Competitive intelligence always concerns organizations, people, places, products, etc. This technology aims at tagging information in a text flow. Lire la suite
     

    Target users and customers

    • Exploitation of mass of unstructured data
    • Anonymization of sensitive data
    • Strategic, business or competitive intelligence

    Application sectors

    • Search and indexing in unstructured documents
    • Document processing
    • Machine Reading and rich indexing
    • Interconnection between metadata and unstructured content
    • Intelligence, press and social networks monitoring
    • Automatic text understanding
    • Automatic annotation of content
    • Document classification
     
 
 
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