Catalogue technologique

The targeted users and customers are the multimedia industry actors, and all academic or industrial laboratories interested in video analysis.

• Multimedia document processing
• Video indexing

• Researchers
• Developers
• Integrators

The use of automatic speech recognition is so manifold that it is hard to list here. The main usages today are customer interaction via the telephone, healthcare dictation and usage on car navigation systems and smartphones. These applications will with increasingly better technology extend to audio mining, speech translation and an increased use of human computer interaction via speech.

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.

• Banking
• Insurance
• Industry

Question-answering is an end-user application. The purpose is to go beyond the traditional way of retrieving information through search engines. Our system is interactive, with both a speech (phone or microphone) and  text (web) interface.

QA system can be viewed as a direct extension of search engines. They allow a user to ask questions in natural language.

• Researchers
• Developers
• Integrators

As translation quality is far below the work of professional human translators, machine translation is targeted to situations where instant access and low cost are key and high quality is not demanded, for example:

• Internet search (cross-language document retrieval)
• Internet (on-the-fly translation of foreign-language websites or news feeds)

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

• Man-machine interactions
• Remote control
• Digital TV
• Video Games
• Peripherals
• Smart Home

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.

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.

Multimedia document indexing and archiving services.

• Multimedia document management
• Search by content into audio-visual documents

Question-answering is for both the general public to retrieve precise information in raw texts, and for companies and organizations, that have specific text mining needs. Question-answering systems suggest short answers and their justification passage to questions provided in natural language.

Extension of search engine, technology monitoring

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.

• 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.