Abstract: A system (100) for encoding an input video frame (1005), for transmitting or storing the encoded video and for decoding the video is disclosed. The system (100) includes an encoder (1000) and a decoder (1200) interconnected through a storage or transmission medium (1100). The encoder (1000) includes a turbo encoder (1015) for forming parity bit data from the input frame (1005) into a first data source (1120), and a sampler (1020) for down-sampling the input frame (1005) followed by intraframe compression (1030) to form a second data source (1110). The decoder (1200) receives data from the second data source (1110) to form an estimate for the frame (1005). The decoder (1200) also receivers the parity bit data from the first data source (1120), and corrects errors in the estimate by applying the parity bit data to the estimate. Each bit plane is corrected in turn by a turbo decoder (1260). The decoder determines how reliably a pixel value was decoded, too.

Abstract: A method (800) of performing distributed video encoding on an input video frame (1005), is disclosed. The method (800) forms a bit-stream from original pixel values of the input video frame (1005), such that groups of bits in the bit-stream are associated with clusters of spatial pixel positions in the input video frame (1005). The bit-stream is interleaved to reduce the clustering. The interleaved bit-stream is encoded to generate parity bits from the bit-stream according to a bitwise error correction method.

Abstract: A method of determining bit rates for use in encoding video data for joint decoding, is disclosed. An approximation of the video data is generated for later use as side information during a process of joint decoding. Bit error probabilities are determined for each bit plane and for each coefficient band of the approximation. The bit rates are determined for encoding the bit planes depending on the bit error probabilities, bit planes, and coefficient bands.

Abstract: A method and system (3000) of decoding video data using joint decoding (3100) of independently encoded sources (1010 and 3012) is disclosed. The method includes storing (1030) an initial estimate of first media data from a first source (1010). Second media data (3032) from a second source (3022) is received, with the second media data comprising parity bit data for correcting estimates derived from the first media data. The stored initial estimate is then retrieved, and the retrieved initial estimate and the received second media data are utilized to decode (3100) the media data.

Abstract: A computer implemented method of storing pixel data corresponding to a pixel is disclosed. A first and a second set of pixel data is determined for the pixel. Parity bits for the first set of pixel data are generated, using error correction. An encoded version of the first set of pixel data including the parity bits is stored. An encoded version of the second set of pixel data is stored, using lossless data compression, for use in decoding the first set of pixel data.

Abstract: A method of encoding video data generates a first source of video data from a first set of video frames by approximating the first set of video frames. A second source of video data is generated from a second set of video frames by transforming first respective binary representations of pixel values of said second set of video frames into second respective binary representation of the pixel values of the second set of video frames. The video data sources are encoded independently according to a mapping wherein Hamming distance between each of successive pixel values in a predetermined range of values in the second binary representation is greater than Hamming distance between each of successive pixel values in a predetermined range of values in the first binary representation.

Abstract: A method of removing an artefact from an image captured with a motion invariant camera is disclosed. The captured image is de-blurred using a spatially invariant blur kernel. An edge filter with a fixed offset is applied to the de-blurred image to identify the location of at least one artefact. A parameter is estimated based on a region either side of the identified location. The at least one artefact is removed from the de-blurred image using the parameter.

Abstract: A method of removing an artefact from an image captured with a motion invariant camera is disclosed. The captured image is de-blurred using a spatially invariant blur kernel. An edge filter with a fixed offset is applied to the de-blurred image to identify the location of at least one artefact. A parameter is estimated based on a region either side of the identified location. The at least one artefact is removed from the de-blurred image using the parameter.

Abstract: Methods, apparatuses (100, 400, 1000), and computer program products for generating an enhanced digital image (490, 495, 1022) comprising a plurality of pixels are disclosed. Using a first digital image (420, 1020) captured from a first camera (124) and parity bits (410, 415, 1010) generated from a second digital image captured by a second camera (122, 126), a third digital image (445, 447, 1045) is constructed. The second camera (122, 126) captures the second image at a resolution different to the resolution of the first camera (124) capturing the first image (420, 1020). A disparity map (455, 457, 1055) between the first image (420, 1020) and the third image (445, 447, 1045) is determined (450, 452, 1050). One of the first image (420, 1020) and the third image (445, 447, 1045) is enhanced (470, 472, 1070) dependent upon the determined disparity map (455, 457, 1055) to generate the enhanced digital image (490, 495, 1022).

Abstract: A system (100) for encoding an input video frame (1005), for transmitting or storing the encoded video and for decoding the video is disclosed. The system (100) includes an encoder (1000) and a decoder (1200) interconnected through a storage or transmission medium (1100). The encoder (1000) includes a turbo encoder (1015) for forming parity bit data from the input frame (1005) into a first data source (1120), and a sampler (1020) for down-sampling the input frame (1202) to form a second data source (1110). The decoder (1200) receives data from the second data source (1110) to form an estimate for the frame (1005). The decoder (1200) also receivers the parity bit data from the first data source (1120), and corrects errors in the estimate by applying the parity bit data to the estimate. Each bit plane is corrected in turn. Bits in bit planes other than a bit plane presently being processed are also modified based in a selective manner.

Abstract: A method of encoding non-key frame data is disclosed. The method includes forming a bit stream from the data by arranging the bits from the data in a known order. The bit stream is interleaved to form an interleaved bit stream, and parity bits are generated for each of the bit stream and the interleaved bit stream. Bits are deleted from the generated parity bits dependant upon the bit plane of those bits, and an encoded bit stream is created from the remaining parity bits.

Abstract: A method (800) of performing distributed video encoding on an input video frame (1005), is disclosed. The method (800) forms a bit-stream from original pixel values of the input video frame (1005), such that groups of bits in the bit-stream are associated with clusters of spatial pixel positions in the input video frame (1005). The bit-stream is interleaved to reduce the clustering. The interleaved bit-stream is encoded to generate parity bits from the bit-stream according to a bitwise error correction method.

Abstract: Methods (700, 800) for encoding an input video frame (1005) comprising a plurality of pixel values, to form an encoded video frame, are disclosed. The pixel values of the input video frame (1005) are down-sampled to generate a first stream of bits configured for use in subsequent determination of approximations of the pixel values. Samples from predetermined pixel positions of the input video frame (1005) are extracted to generate a second stream of bits configured for improving the determined approximations of the pixel values. A third stream of bits is generated from the input video frame (1005), according to a bitwise error correction method. The third stream of bits contains parity information, where the first, second and third stream of bits represent the encoded video frame.

Abstract: Methods, apparatuses (100, 400, 1000), and computer program products for generating an enhanced digital image (490, 495, 1022) comprising a plurality of pixels are disclosed. Using a first digital image (420, 1020) captured from a first camera (124) and parity bits (410, 415, 1010) generated from a second digital image captured by a second camera (122, 126), a third digital image (445, 447, 1045) is constructed. The second camera (122, 126) captures the second image at a resolution different to the resolution of the first camera (124) capturing the first image (420, 1020). A disparity map (455, 457, 1055) between the first image (420, 1020) and the third image (445, 447, 1045) is determined (450, 452, 1050). One of the first image (420, 1020) and the third image (445, 447, 1045) is enhanced (470, 472, 1070) dependent upon the determined disparity map (455, 457, 1055) to generate the enhanced digital image (490, 495, 1022).

Abstract: A method of removing an artefact from an image captured with a motion invariant camera is disclosed. The captured image is de-blurred using a spatially invariant blur kernel. An edge filter with a fixed offset is applied to the de-blurred image to identify the location of at least one artefact. A parameter is estimated based on a region either side of the identified location. The at least one artefact is removed from the de-blurred image using the parameter.

Abstract: A system (100) for encoding an input video frame (1005), for transmitting or storing the encoded video and for decoding the video is disclosed. The system (100) includes an encoder (1000) and a decoder (1200) interconnected through a storage or transmission medium (1100). The encoder (1000) includes a turbo encoder (1015) for forming parity bit data from the input frame (1005) into a first data source (1120), and a sampler (1020) for down-sampling the input frame (1005) followed by intraframe compression (1030) to form a second data source (1110). The decoder (1200) receives data from the second data source (1110) to form an estimate for the frame (1005). The decoder (1200) also receivers the parity bit data from the first data source (1120), and corrects errors in the estimate by applying the parity bit data to the estimate. Each bit plane is corrected in turn by a turbo decoder (1260). The decoder determines how reliably a pixel value was decoded, too.

Abstract: A system (100) for encoding an input video frame (1005), for transmitting or storing the encoded video and for decoding the video is disclosed. The system (100) includes an encoder (1000) and a decoder (1200) interconnected through a storage or transmission medium (1100). The encoder (1000) includes a module (1007) for mapping bit representations of component values of pixels of the input video frame (1005) to form mapped bit representations, wherein the Hamming distance of successive values in the mapped bit representations is at least two. The encoder (1000) further includes a turbo encoder (1015) for forming parity bit data from the mapped bit representations into a first data source (1120), and a sampler (1020) for down-sampling the input frame (1005) followed by intraframe compression (1030) to form a second data source (1110). The decoder (1200) receives data from the second data source (1110) to form an estimate for the frame (1005).

Abstract: A method of decoding a frame (1110) of video data is disclosed. The data is encoded in a format having a first field (1031) comprising a plurality of encoded key frames and a second field (1032A; 1032B) comprising data facilitating error correction of an approximation of the frame to be decoded using the first field. The method decodes (1140; 1240) at least two key frames from the first field and then determines the approximation (1157; 1257) of the frame from the decoded key frames. The method then determines (1125; 1225) a reliability (1165; 1265) for each of at least parts of the approximation, and applies (1080; 1280) the data (1032A; 1032B) facilitating error correction to the approximation (1157; 1257) of the frame, based on the determined reliabilities for the parts to thereby form the decoded frame (1135; 1235=1110).

Abstract: A computer implemented method of storing pixel data corresponding to a pixel is disclosed. A first and a second set of pixel data is determined for the pixel. Parity bits for the first set of pixel data are generated, using error correction. An encoded version of the first set of pixel data including the parity bits is stored. An encoded version of the second set of pixel data is stored, using lossless data compression, for use in decoding the first set of pixel data.

Abstract: A method of determining bit rates for use in encoding video data for joint decoding, is disclosed. An approximation of the video data is generated for later use as side information during a process of joint decoding. Bit error probabilities are determined for each bit plane and for each coefficient band of the approximation. The bit rates are determined for encoding the bit planes depending on the bit error probabilities, bit planes, and coefficient bands.