Abstract: Disclosed here are methods, systems, and devices for measuring visual quality degradation of digital content caused by an encoding process. There is received first data for a digital content item, which is not encoded by the encoding process, and second data for the digital content item, which is encoded by the encoding process. For a given artefact type, the first data and the second data are processed to obtain a first quality metric measuring visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process. A stored mapping corresponding to the given artefact type is applied to the first quality metric to obtain a second quality metric which measures visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process and approximates subjective assessment of the digital content item by a human visual system.

Abstract: Disclosed herein are systems, devices, and methods for encoding a plurality of video channels in a shared resource environment. For a plurality of frames in the video channels, complexity metrics are computed, each estimating content complexity of a corresponding frame; and encoding budget metrics are computed, each defining an allocation of bits for encoding the corresponding frame. The encoding budget metrics of a particular video channel are computed to reduce anticipated encoding distortion in the particular video channel. A resource allocation is determined that allocates a portion of total resources of the shared resource environment for encoding each of the video channels. The resource allocation is determined to reduce anticipated encoding distortion across the video channels based on the encoding budgets and the complexity metrics. Encoding configurations are selected based on the resource allocation, each for encoding a corresponding video channel.

Abstract: Disclosed here are methods, systems, and devices for measuring visual quality degradation of digital content caused by an encoding process. There is received first data for a digital content item, which is not encoded by the encoding process, and second data for the digital content item, which is encoded by the encoding process. For a given artefact type, the first data and the second data are processed to obtain a first quality metric measuring visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process. A stored mapping corresponding to the given artefact type is applied to the first quality metric to obtain a second quality metric which measures visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process and approximates subjective assessment of the digital content item by a human visual system.

Abstract: Disclosed here are methods, systems, and devices for measuring visual quality degradation of digital content caused by an encoding process. There is received first data for a digital content item, which is not encoded by the encoding process, and second data for the digital content item, which is encoded by the encoding process. For a given artefact type, the first data and the second data are processed to obtain a first quality metric measuring visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process. A stored mapping corresponding to the given artefact type is applied to the first quality metric to obtain a second quality metric which measures visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process and approximates subjective assessment of the digital content item by a human visual system.

Abstract: Disclosed here are methods, systems, and devices for measuring visual quality degradation of digital content caused by an encoding process. There is received first data for a digital content item, which is not encoded by the encoding process, and second data for the digital content item, which is encoded by the encoding process. For a given artefact type, the first data and the second data are processed to obtain a first quality metric measuring visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process. A stored mapping corresponding to the given artefact type is applied to the first quality metric to obtain a second quality metric which measures visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process and approximates subjective assessment of the digital content item by a human visual system.

Abstract: A system is proposed for dynamic reduction of the entropy of a signal upstream to a data compression device. The signal includes a set of successive frames. The system has a filtering decision module that provides a setpoint value of filtering and a filtering module that filters the signal according to the setpoint value of filtering and gives a filtered signal to the data compression device. The system further includes a module for obtaining a piece of information on complexity for each frame of the signal. The filtering decision module is adapted to determining the setpoint value of filtering, for each frame of the signal, as a function inter alia of the piece of information on complexity.

Abstract: A method for compressing video operates by first deleting one or more video packets from binary train to provide a reduced binary train. Thereafter, error masking is performed on the reduced binary train to yield a corrected degraded local decoded image which is the image reconstructed on the basis of the reduced binary train and of the masking algorithm. The reduction in the binary train is validated as a function of the quality of the corrected degraded local decoded image. Lastly one of the reduced binary train or of the binary train, is selected depending on whether or not there is validation.

Abstract: A system is proposed for dynamic reduction of the entropy of a signal upstream to a data compression device. The signal includes a set of successive frames. The system has a filtering decision module that provides a setpoint value of filtering and a filtering module that filters the signal according to the setpoint value of filtering and gives a filtered signal to the data compression device. The system further includes a module for obtaining a piece of information on complexity for each frame of the signal. The filtering decision module is adapted to determining the setpoint value of filtering, for each frame of the signal, as a function inter alia of the piece of information on complexity.

Abstract: Method and apparatus for detecting transitions in a video sequence, which include detecting an abrupt transition including, for each image It?2k included in said video sequence and with a processing time rank t?2k: calculating a first distance D(It?k), between an image It?k and a reference image for said image It?k, which precedes said image It?k in the video sequence; calculating a second distance D(It?2k), between an image It?2k and a reference image for said image It?2k, which precedes said image It?2k in the video sequence; calculating a third distance D(It?3k), between an image It?3k and a reference image for said image It?3k, which precedes said image It?3k in the video sequence; calculating a criterion C? indicating whether said second distance D(It?2k) is significantly greater than the largest of the first and third distances, D(It?k) and D(It?3k); deciding, according to said criterion C?, on the belonging of the image It?2k to an abrupt transition.

Abstract: The process is characterized in that it performs the inverse operations (26, 27, 28) of the successive coding operations, in an inverse order, coefficient by coefficient rather than block by block. Applications relate to the compression of video data.

Abstract: Method and apparatus for detecting transitions in a video sequence, which include detecting an abrupt transition including, for each image It?2k included in said video sequence and with a processing time rank t=2k: calculating a first distance D(It?k), between an image It?k and a reference image for said image It?k, which precedes said image It?k in the video sequence; calculating a second distance D(It?2k), between an image It?2k and a reference image for said image It?2k, which precedes said image It?2k in the video sequence; calculating a third distance D(It?3k), between an image It?3k and a reference image for said image It?3k, which precedes said image It?3k in the video sequence; calculating a criterion C? indicating whether said second distance D(It?2k) is significantly greater than the largest of the first and third distances, D(It?k) and D(It?3k); deciding, according to said criterion C?, on the belonging of the image It?2k to an abrupt transition.

Abstract: The device is characterized in that it comprises means for preventing the “skipped macroblock” mode of coding of a macroblock of an image of P type on the basis of a correlation item measuring the correlation of this macroblock or of the co-located macroblock of the previous I or P image with the co-located macroblock of a next image of B type, in the order of coding.

Abstract: The process is characterized in that it comprises the following steps: segmentation of the sequence into alternating video shots, classification of these shots according to camera angles in order to obtain classes, construction of a sprite or video object plane for a class that is an image corresponding to the background relating to this class, grouping of at least two sprites onto the same sprite or video object plane, in order to form an image called large sprite, extraction, for the shots corresponding to the large sprite, of image foreground objects from the sequence relating to these shots, separate encoding of the large sprite and of the extracted foreground objects. Application to the transmission and to the storage of video data.

Abstract: The method is characterized in that it comprises: a step of reducing the binary train (2) consisting in deleting one or more video packets from the binary train so as to provide a reduced binary train, a step of implementing an error masking algorithm on the reduced binary train (3) so as to calculate a corrected degraded local decoded image which is the image reconstructed on the basis of the reduced binary train and of the masking algorithm, a step of validation (4) for validating or not the reduction in the binary train as a function of the quality of the corrected degraded local decoded image, a step of selection (2) of the reduced binary train or of the binary train, depending on whether or not there is validation.

Abstract: The process is characterized in that it performs the inverse operations (26, 27, 28) of the successive coding operations, in an inverse order, coefficient by coefficient rather than block by block.

Abstract: The device is characterized in that it comprises means for preventing the “skipped macroblock” mode of coding of a macroblock of an image of P type on the basis of a correlation item measuring the correlation of this macroblock or of the co-located macroblock of the previous I or P image with the co-located macroblock of a next image of B type, in the order of coding.