A number of negatively affected (correctly received) packets due to packet loss is reduced by providing, and analyzing, error resilience in the packets of the sequence of packets and identifying, for each of runs of one or more lost packets of the sequence of packets, a first packet in the sequence of packets after the respective run of one or more lost packets, which carries a beginning of any of the tiles of the video data stream, and concurrently carries a slice, the slice header of which is contained in any of the packets of the sequence of packets not being lost. In particular, the side information overhead for transmitting the error resilience data is comparatively low compared to the reduction in negatively affected packets due to packet loss.

Embodiments of the invention relate to an image or raster compression method for a multi-dimensional array of pixels. A user specifies a maximum error allowable per pixel for the compression algorithm. The raster is divided into a number of pixel blocks where each pixel is quantized and bit stuffed based on a number of block statistics including the maximum error allowable. The size of the pixel blocks is limited to two (e.g., 8×8 and 16×16) to save processing time with little difference in compression. A Look-Up Table (LUT) is used instead for certain types of data where it is more efficient.

Embodiments of the invention relate to an image or raster compression method for a multi-dimensional array of pixels. A user specifies a maximum error allowable per pixel for the compression algorithm. The raster is divided into a number of pixel blocks where each pixel is quantized and bit stuffed based on a number of block statistics including the maximum error allowable. The size of the pixel blocks is limited to two (e.g., 8×8 and 16×16) to save processing time with little difference in compression. A Look-Up Table (LUT) is used instead for certain types of data where it is more efficient.

Systems and methods for reducing, with minimal loss, optical sensor data to be conveyed to another system for processing. An eye tracking device, such as a head-mounted display (HMD), includes a sensor and circuitry. The sensor generates image data of an eye. The circuitry receives the image data, and assigns pixels of the image data to a feature region of the eye by comparing pixel values of the pixels to a threshold value. A feature region refers to an eye region of interest for eye tracking, such as a pupil or glint. The circuitry generates encoded image data by apply an encoding algorithm, such as a run-length encoding algorithm or contour encoding algorithm, to the image data for the pixels of the feature region. The circuitry transmits the encoded image data, having a smaller data size than the image data received from the sensor, for gaze contingent content rendering.

A method of configuring an image encoder emulator. Input image data is encoded at an encoding stage comprising a network of inter-connected weights, and decoded at a decoding stage to generate a first distorted version of the input image data. The first distorted version is compared with a second distorted version of the input image data generated using an external encoder to determine a distortion difference score. A rate prediction model is used to predict an encoding bitrate associated with encoding the input image data to a quality corresponding to the first distorted version. A rate difference score is determined by comparing the predicted encoding bitrate with an encoding bitrate used by the external encoder to encode the input image data to a quality corresponding to the second distorted version. The weights of the encoding stage are trained based on the distortion difference score and the rate difference score.

A method of configuring an image encoder emulator. Input image data is encoded at an encoding stage comprising a network of inter-connected weights, and decoded at a decoding stage to generate a first distorted version of the input image data. The first distorted version is compared with a second distorted version of the input image data generated using an external encoder to determine a distortion difference score. A rate prediction model is used to predict an encoding bitrate associated with encoding the input image data to a quality corresponding to the first distorted version. A rate difference score is determined by comparing the predicted encoding bitrate with an encoding bitrate used by the external encoder to encode the input image data to a quality corresponding to the second distorted version. The weights of the encoding stage are trained based on the distortion difference score and the rate difference score.

Methods, systems and devices enable enhanced delivery of metadata, as well as auxiliary programs and services associated with a primary content. In one method, a primary content with pre-existing watermarks is received at a content distributor device. The pre-existing watermark include specific fields that allow retrieval of a first metadata. The values and boundary locations of the symbols of the pre-existing watermark messages are determined, and symbols of a new watermark message are embedded in the primary content to render the pre-existing watermarks undetectable. The new watermark message includes symbol values that different from those in the pre-existing watermark messages and enable retrieval of a second metadata. Upon transmission of the primary content to a client device, detection of the new watermark message, and initiation of a request by the client device, access to the first or the metadata, as well as associated programs or services, are enabled.

An encoder which codes a moving picture includes: a processor; and a memory, wherein the processor, using the memory: subtracts a prediction image of an image included in the moving picture from the image so as to derive a prediction error; sequentially selects a plurality of transform basis candidates; derives an evaluation value of a transform basis candidate selected; compares the evaluation value with a threshold value; based on a result of the comparison, skips selection of one or more transform basis candidates that have not been selected; determines the transform basis from one or more transform basis candidates selected; performs the transform of the prediction error, using the transform basis; quantizes a result of the transform; and codes a result of the quantization as data of the image.

An encoder which codes a moving picture includes: a processor; and a memory, wherein the processor, using the memory: subtracts a prediction image of an image included in the moving picture from the image so as to derive a prediction error; sequentially selects a plurality of transform basis candidates; derives an evaluation value of a transform basis candidate selected; compares the evaluation value with a threshold value; based on a result of the comparison, skips selection of one or more transform basis candidates that have not been selected; determines the transform basis from one or more transform basis candidates selected; performs the transform of the prediction error, using the transform basis; quantizes a result of the transform; and codes a result of the quantization as data of the image.

A point cloud data transmission method according to embodiments may comprise the steps of: encoding point cloud data; and/or transmitting the encoded point cloud data. A point cloud data reception method according to embodiments may comprise the steps of: receiving point cloud data; decoding the point cloud data; and/or rendering the point cloud data.