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:
Disclosed is a method of image coding for joint decoding of images from different viewpoints using distributed coding techniques. The method receives a first set of features (205) and error correction bits (203) corresponding to a first image (201) obtained at a first viewpoint (122) and a second set of features (425) from a second image (254, 415) corresponding to a second viewpoint (124). An approximation (437) of said first image (201) at said first viewpoint (122) is determined (432, 434, 436) an based on the first and second sets of features (205, 425) and the second image at the second viewpoint. A reliability measure (445) of the approximation of the first image is then determined (450) by joint decoding (438) the approximation (437) using the error correction bits (203). The approximation of the first image is then refined iteratively (460, 438) based on the reliability measure (445) and image information (448) derived from the joint decoding.
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. Frame reconstruction module (1290) takes advantage of this and discards unreliably decoded pixels and replaces them with predicted pixel values.
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). 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). A frame reconstruction module (1290) takes advantage of the Hamming distance of the mapped bit representation to compute final pixel values.
Abstract:
Disclosed is a method of image coding for joint decoding of images from different viewpoints using distributed coding techniques. The method receives a first set of features (205) and error correction bits (203) corresponding to a first image (201) obtained at a first viewpoint (122) and a second set of features (425) from a second image (254, 415) corresponding to a second viewpoint (124). An approximation (437) of said first image (201) at said first viewpoint (122) is determined (432, 434, 436) an based on the first and second sets of features (205, 425) and the second image at the second viewpoint. A reliability measure (445) of the approximation of the first image is then determined (450) by joint decoding (438) the approximation (437) using the error correction bits (203). The approximation of the first image is then refined iteratively (460, 438) based on the reliability measure (445) and image information (448) derived from the joint decoding.
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 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. Frame reconstruction module (1290) takes advantage of this and discards unreliably decoded pixels and replaces them with predicted pixel values.
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 (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.