Bourge
Arnaud Bourge, Eindhoven NL
Patent application number | Description | Published |
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20090304081 | CODING DEVICE AND METHOD FOR SCALABLE ENCODING OF MOVIE CONTAINING FIELDS - A coding device (D | 12-10-2009 |
Arnaud Bourge, Paris FR
Patent application number | Description | Published |
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20130294688 | Face Detection Method - A method for detecting faces in an image having a plurality of picture elements, each having a plurality of colour components in a predetermined colour space, includes determining an extended range for colour component values, in the colour space, in which a skin tone area is likely to be detected, defining intervals for the colour component values, in the colour space, covering at least part of the extended range, and scanning each of the intervals to detect a skin tone area. If a skin tone area is detected, the method includes selecting the intervals in which a skin tone area is detected, defining candidate limited ranges for colour component values, in the colour space, from the selected intervals, performing face detection on a skin tone area in at least some of the candidate limited ranges, and selecting a chosen candidate limited range based on the number of faces detected. | 11-07-2013 |
Arnaud Pierre Herve Bourge, Paris FR
Patent application number | Description | Published |
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20100014585 | METHOD AND SYSTEM FOR ENCODING A VIDEO SIGNAL, ENCODED VIDEO SIGNAL, METHOD AND SYSTEM FOR DECODING A VIDEO SIGNAL - Some video compression standards use multiple temporal predictions. One or more of the oldest temporal predict ions are overwritten with another prediction. A prediction used in an enhancement encoder is in embodiment overwritten by a prediction produced in a base stream encoder. | 01-21-2010 |
20100110163 | METHOD AND SYSTEM FOR ENCODING A VIDEO DATA SIGNAL, ENCODED VIDEO DATA SIGNAL, METHOD AND SYTEM FOR DECODING A VIDEO DATA SIGNAL - Video data signals are encoded such that the encoded video data signal comprises at least a primary and at least a secondary video data signal. The primary and secondary video data signal are jointly compressed. The primary video data signal is compressed in a self-contained manner, and the secondary video data signal is compressed using data from the primary video data signal. The jointly compressed video data signal is split (BSS) into separate bitstreams, at least a primary bitstream comprising data for the primary video data signal and at least a secondary bitstream comprising data for the secondary video data signal, whereafter the primary and secondary bitstreams are multiplexed into a multiplexed signal, and the primary and secondary signals are provided with separate codes (0x1B, 0x20). | 05-06-2010 |
20140369423 | METHOD AND SYSTEM FOR ENCODING A VIDEO DATA SIGNAL, ENCODED VIDEO DATA SIGNAL, METHOD AND SYSTEM FOR DECODING A VIDEO DATA SIGNAL - Video data signals are encoded such that the encoded video data signal comprises at least a primary and at least a secondary video data signal. The primary and secondary video data signal are jointly compressed. The primary video data signal is compressed in a self-contained manner, and the secondary video data signal is compressed using data from the primary video data signal. The jointly compressed video data signal is split into separate bitstreams, at least a primary bitstream comprising data for the primary video data signal and at least a secondary bitstream comprising data for the secondary video data signal, whereafter the primary and secondary bitstreams are multiplexed into a multiplexed signal, and the primary and secondary signals are provided with separate codes. | 12-18-2014 |
Jean-Pierre Bourge, Kuala Lumpar MY
Patent application number | Description | Published |
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20140122037 | CONDITIONING RANDOM SAMPLES OF A SUBTERRANEAN FIELD MODEL TO A NONLINEAR FUNCTION - A method for performing a field operation in a field includes obtaining subterranean field models that are generated based on measured data of a portion of the field. The subterranean field models include statistically derived data for a remainder portion of the field where the measured data is not available. Using a constraint optimization algorithm, weighting factors are determined that represent contributions of the subterranean field models to a combined model. The weighting factors are determined based on a statistical constraint defined by a statistical distribution of the subterranean field models and based on an optimization constraint such that a difference between a modeled value of the field and a pre-determined target value is less than a pre-determined threshold. The combined model is generated from the subterranean field model based on the weighting factors A field operation is performed based on the combined model. | 05-01-2014 |