A method of coding at least one image comprising the steps of splitting the image into a plurality of blocks, of grouping said blocks into a predetermined number of subsets of blocks, of coding each of said subsets of blocks in parallel, the blocks of a subset considered being coded according to a predetermined sequential order of traversal. The coding step comprises, for a current block of a subset considered, the sub-step of predictive coding of said current block with respect to at least one previously coded and decoded block, and the sub-step of entropy coding of said current block on the basis of at least one probability of appearance of a symbol.

A method of coding at least one image comprising the steps of splitting the image into a plurality of blocks, of grouping said blocks into a predetermined number of subsets of blocks, of coding each of said subsets of blocks in parallel, the blocks of a subset considered being coded according to a predetermined sequential order of traversal. The coding step comprises, for a current block of a subset considered, the sub-step of predictive coding of said current block with respect to at least one previously coded and decoded block, and the sub-step of entropy coding of said current block on the basis of at least one probability of appearance of a symbol.

A method for encoding image signal, according to the present invention, can: encode a partial block coefficient flag indicating whether a coefficient of a current partial block is a non-zero coefficient; encode a first flag indicating whether an absolute value of the coefficient is greater than 1, encode a second flag indicating whether the absolute value of the coefficient is greater than 2; encode the residual coefficients, which have not been encoded, on the basis of the first flag or the second flag in the current partial block; and encode a code for the coefficient of the current partial block.

A system includes at least one imaging sensor and a processor. The processor is configured to acquire, using the imaging sensor, detected data describing an environment of an autonomous vehicle. The processor is further configured to derive reference data, which describe the environment, from a predefined map, to compute difference data representing a difference between the detected data and the reference data, and to transfer the difference data. Other embodiments are also described.

The present application provides a video encoding method, decoding method and devices thereof. The video encoding device includes a video capturing unit for capturing a video image; a processing unit for performing compression encoding on a background image in the video image to obtain video compression data and for structuralizing a foreground moving object in the video image to obtain foreground object metadata; a data transmission unit for transmitting the video compression data and the foreground object metadata, wherein the foreground object metadata is data that stores video structuralized semantic information. In the case that the moving objects are large in quantity or in size, the amount of video data can be effectively reduced and the limitation of network bandwidth during transmission can be mitigated.

The present application provides a video encoding method, decoding method and devices thereof. The video encoding device includes a video capturing unit for capturing a video image; a processing unit for performing compression encoding on a background image in the video image to obtain video compression data and for structuralizing a foreground moving object in the video image to obtain foreground object metadata; a data transmission unit for transmitting the video compression data and the foreground object metadata, wherein the foreground object metadata is data that stores video structuralized semantic information. In the case that the moving objects are large in quantity or in size, the amount of video data can be effectively reduced and the limitation of network bandwidth during transmission can be mitigated.

An image processing apparatus converts a multivalued image to a binary image, determines a character region and a non-character region in the binary image, extracts areas in units of a character from the character region, determines whether each of the areas is a character region or a non-character region, and extracts, for each of the areas determined to be the character region, a first representative color from the multivalued image included in the area, and generates a binary image corresponding to the first representative color. The apparatus decides a second representative color closest to a color of a target pixel by comparing the first representative color with the color of the target pixel, and changes the binary image of the area corresponding to the first representative color to a binary image of the decided second representative color.

An image processing apparatus converts a multivalued image to a binary image, determines a character region and a non-character region in the binary image, extracts areas in units of a character from the character region, determines whether each of the areas is a character region or a non-character region, and extracts, for each of the areas determined to be the character region, a first representative color from the multivalued image included in the area, and generates a binary image corresponding to the first representative color. The apparatus decides a second representative color closest to a color of a target pixel by comparing the first representative color with the color of the target pixel, and changes the binary image of the area corresponding to the first representative color to a binary image of the decided second representative color.

A method, and associated computer system and computer program product, for video compression that includes receiving a video file including a plurality of frames, identifying at least one image feature in each of the plurality of frames, determining a semantic state change of the image feature for each successive frame after a first of the plurality of frames, and storing the first of the plurality of frames and the semantic change of the image feature for each successive frame after the first of the plurality of frames.

A method and apparatus for inverse tone mapping of an LDR image with computer generated imagery components, such components being also called visual effects, are disclosed. The disclosed method includes accessing a first LDR image, the first LDR image being obtained from at least one computer generated imagery component rendered and composited into an LDR reference image or background plate; determining an HDR lighting indication responsive to information extracted from a part of the first LDR image and a respective part of a first intermediate HDR image obtained by applying a first pass inverse tone mapping to the first LDR image; obtaining a second intermediate HDR image by applying a second pass inverse tone mapping to the LDR reference image; obtaining the first HDR image from the computer generated imagery components rendered using HDR lighting indication and composited into the second intermediate HDR image.