Thomson Licensing

Frederic Lefebvre

Luis Montalvo

Bertrand Chupeau

Antoine Robert

Jurgen Stauder

Alain Durand

Serge Defrance

Lionel Oisel

Louis Chevallier

Jean-Ronan Vigouroux

Nicolas Le Scouarnec

Patrick Morvan

Olivier Heen

Francois Le Clerc

Patrick Perez

Claire-Helene Demarty

Alexey Ozerov

Remy Gendrot

Ayoub Massoudi

Michel Morvan

A particular implementation determines parameters of a generative probabilistic model from visual descriptors extracted from at least one image. The extracted visual descriptors are quantized and encoded using the model-based arithmetic encoding to be stored or for transmission to a decoder. The model parameters are also stored to be available to a decoder, or transmitted directly to a decoder. A decoder uses the stored, or received, model parameters to reconstruct the generative probabilistic model and then to decode the visual descriptors. The visual descriptors are used for image analysis tasks, such as image retrieval or object detection. A particular implementation uses a Gaussian mixture model as a generative probabilistic model.

Methods and apparatus for model-based visual descriptors compression

The application concerns a method for transmitting video data in a data stream and associated metadata, said metadata representing associated video data structure. The method comprises the steps of&#x2014;determining the structure of the video data, &#x2014;splitting said structure into chunks in an incremental manner, &#x2014;transmitting said chunks in the data stream at time intervals before the video data it is related to. The application concerns also a method for transmitting fingerprint information associated with video data into a video data stream. The method comprises the steps of: &#x2014;determining fingerprint associated with at least one frame of said video data, &#x2014;inserting at least a message into the video stream comprising said fingerprint information.

Method to transmit video data in a data stream and associated metadata

Rendering second screen information on a second screen device. A user device receives information characterizing the source of a content data stream and the content data stream; generates a watermark payload using a plurality of parameters comprising the information and a time of the user device; and inserts a watermark comprising the watermark payload into the content data stream that is rendered. The second screen device captures the watermark and extracts the watermark payload and then at least one of the plurality of parameters; generates, using the at least one extracted parameter, a request that is sent the request to a server; receives information from the server in response to the request; and displays the received information on a screen of the second screen.

User device, a second screen system and a method for rendering second screen information on a second screen

A device and a method for online storage, device and method for searching for similar content, a device and a method of transmission and a device and a method. Encrypted data is saved at a provider of online services. With the encrypted data, encrypted hashing data is saved with a public key and the content to save is encrypted with the encrypted hash. This advantageously enables data duplication at the online service provider to be prevented while preserving the private life of the users of the service. In order to search for content similar to reference multimedia data, fingerprints are also saved at the service provider. In order to limit the number of false positives returned, the fingerprint can further contain a search fingerprint, an encrypted selection fingerprint.

Device and method for online storage, transmission device and method, and receiving device and method

The method comprises the generation of a deteriorated image associated with a first bit rate and of a deteriorated color transform associated with a second bit rate, an evaluation of a first distortion by comparison of the image with a first test image obtained by the application of the color transform to the deteriorated image, and of a second distortion by comparison of the image with a second test image obtained by the application of the deteriorated color transform to the image, and the determination of a final conjoint bit rate associated with a best trade-off between a conjoint bit rate (R=R1+R2) and a global distortion (dE=dE1+DE2). The optimized deteriorated image and the optimized deteriorated color transform are then embedded based on this conjoint bit rate.

Method of embedding of an image with a color transform

The present invention relates to the field of management of image data in data storage. In particular, the present invention relates to a method and device for automatic detection of duplicate images in data storage and corresponding device while taking into account user perception of what he considers to be duplicate images, which method and device are particularly efficient with regard to the personalized, automatic management of large amounts of image data.

Method of automatic management of images in a collection of images and corresponding device

The invention relates to a method for decoding a watermark embedded in a video comprising blocks of samples representative of the video comprising the steps of determining in the video a location of a watermarked block; determining a location for each reference block among a plurality of reference blocks wherein a reference block is associated to a watermark value among a plurality of watermark values; comparing the watermarked block with each reference block; and identifying watermark value for the watermarked block from the results of the plurality of comparison. The method is remarkable in that each reference block is equally located in the video, for instance the pirated video, so that the plurality of comparisons between the watermarked block and each reference block is performed among the same video.

Method for watermark detection using reference blocks comparison

A method for temporal registration of a first sequence of images and a second sequence of second images is described. The method comprises the following steps for:

Signature based registration method and method for signature calculation

The invention concerns a method for computing a fingerprint of a video sequence. The method comprises the steps of&#x2014;Computation of a visual digest for each frame of the video, &#x2014;Computation of the distance between the visual digest of each frame of the video in order to detect shots, &#x2014;Detection, for each detected shot of the video, of a frame, called stable frame, having the smallest content variation of the shot, &#x2014;Calculation of a local fingerprint for said stable frame.

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Rennes, France

Frederic Lefebvre