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54results about How to "Less computationally intensive" patented technology

Method and system for registering and measuring leaks and flows

The present invention concerns a method of quantifying, detecting and localizing leaks or flows of liquid, gasses, or particles, in an oil or gas producing well (230). The method utilizes an acoustic transducer (150) arranged in the well (230). The method comprises steps of: (a) detecting signals (210) using the transducer (150), wherein the signals (210) are generated by acoustic noise from leaks (20) or flow of liquid, gasses, or particles in surroundings of the transducer (150); (b) amplifying the signals (210) to generate corresponding amplified signals for subsequent processing in a processing unit (170) disposed locally to the transducer (150); (c) filtering the amplified signals (210) over several frequency ranges using dynamic filtering for simultaneously detecting in these frequency ranges for better optimizing the signal-to-noise ratio by filtering away background noise in the amplified signals (210), and thereby generating corresponding processed data; and (d) sending the processed data from the processing unit (170) to a unit on the surface for storage and/or viewing of said data. The invention also comprises a corresponding system for implementing the method. The method and system are beneficially adapted for a continuous measurement up and/or down the oil or gas producing well. (230) in a non-stepwise manner.
Owner:ARCHER SA

Perceptually driven error correction for video transmission

The invention presents a method of applying forward error correction selectively to an encoded video sequence before it is transmitted. Forward error correction is targeted at portions of the video that will be most noticeably affected by any potential packet loss during transmission. The targeting is done using a perceptual error sensitivity model, which effectively maps an error visibility rating onto content-dependent and content-independent properties associated with a given portion video. The encoder and decoder settings will be used for the actual video sequence where forward error correction is to be applied are used in the training of the model, as they have a significant effect on the perception of any errors. Then, to adaptively apply forward error correction, a selected video sequence is encoded, and the encoded bitstream is analysed to determine content-independent properties. A decoded version of the video sequence is also analysed to determine content-dependent properties being determined. The content-independent and content-dependent properties are used in conjunction with the perceptual error sensitivity model to predict which slices of the video sequence will be most significantly affected perceptually by packet loss, and thus target FEC to those areas accordingly.
Owner:BRITISH TELECOMM PLC
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