Abstract: A system on chip (SoC) having an integrated circuit (IC) integrating into a single chip advance driver assistance systems (ADAS) processing unit(s), application processing unit(s), at least one memory storing ADAS code comprising ADAS computer instructions adapted to be executed on the ADAS processing unit(s) for processing vehicle sensor data and VM code for executing VM(s) on the application processing unit(s) and a hypervisor which manages an execution of at least one operation system of the VM(s) and an access to a processor shared memory of the ADAS processing unit(s) for acquiring an outcome of executing the ADAS computer instructions for the completion of an ADAS enhancing function by the execution of the VM(s) on the application processing unit(s).

Abstract: A system on chip (SoC) having an integrated circuit (IC) integrating into a single chip advance driver assistance systems (ADAS) processing unit(s), application processing unit(s), at least one memory storing ADAS code comprising ADAS computer instructions adapted to be executed on the ADAS processing unit(s) for processing vehicle sensor data and VM code for executing VM(s) on the application processing unit(s) and a hypervisor which manages an execution of at least one operation system of the VM(s) and an access to a processor shared memory of the ADAS processing unit(s) for acquiring an outcome of executing the ADAS computer instructions for the completion of an ADAS enhancing function by the execution of the VM(s) on the application processing unit(s).

Abstract: A computer-implemented method for image adaptation includes accepting a digitally-represented input image and a target size requirement. The input image is modified by optimally determining at least one of a resolution of the input image and a quality of the input image, the quality defining an amount of information allocated to represent each pixel value of the input image, so as to produce a compressed output image meeting the target size requirement.

Abstract: A computer-implemented method for image adaptation includes accepting a digitally-represented input image and a target size requirement. The input image is modified by optimally determining at least one of a resolution of the input image and a quality of the input image, the quality defining an amount of information allocated to represent each pixel value of the input image, so as to produce a compressed output image meeting the target size requirement.

Abstract: A method for converting video from a first format into a second format, the method including decoding into a series of frames video that is encoded in a first format, mapping the colors represented in the frames into a palette having fewer colors than the number of colors represented in the frames, removing noise from the frames, selectably removing at least one frame from the sequence, and re-encoding the sequence using the fewer colors into a second video format.

Abstract: A method for converting video from a first format into a second format, the method including decoding into a series of frames video that is encoded in a first format, mapping the colors represented in the frames into a palette having fewer colors than the number of colors represented in the frames, removing noise from the frames, selectably removing at least one frame from the sequence, and re-encoding the sequence using the fewer colors into a second video format.

Abstract: An encoder including a DCT transformator for receiving an image or video frame and performing DCT transformation upon a pixel block in a macroblock of the frame, thereby providing a matrix of DCT coefficients, a zig-zag matrix-to-vector converter for receiving the matrix of DCT coefficients from the DCT transformator and creating a one-dimensional vector of DCT coefficients, an analyzer for receiving the one-dimensional vector of DCT coefficients and classifying the macroblock according to a level of detail and edginess, a rate controller for receiving the classification information from the analyzer and selecting DCT filtering parameters, a DCT filter for receiving the DCT filtering parameters selection from the rate controller and implementing the DCT filtering parameters upon the frame, thereby providing a filtered DCT coefficient vector, a quantizer for quantizing the filtered DCT coefficient vector, and a compressor for compressing the quantized results.

Abstract: A method for converting video from a first format into a second format, the method including decoding into a series of frames video that is encoded in a first format, mapping the colors represented in the frames into a palette having fewer colors than the number of colors represented in the frames, removing noise from the frames, selectably removing at least one frame from the sequence, and re-encoding the sequence using the fewer colors into a second video format.

Abstract: An encoder including a DCT transformator for receiving an image or video frame and performing DCT transformation upon a pixel block in a macroblock of the frame, thereby providing a matrix of DCT coefficients, a zig-zag matrix-to-vector converter for receiving the matrix of DCT coefficients from the DCT transformator and creating a one-dimensional vector of DCT coefficients, an analyzer for receiving the one-dimensional vector of DCT coefficients and classifying the macroblock according to a level of detail and edginess, a rate controller for receiving the classification information from the analyzer and selecting DCT filtering parameters, a DCT filter for receiving the DCT filtering parameters selection from the rate controller and implementing the DCT filtering parameters upon the frame, thereby providing a filtered DCT coefficient vector, a quantizer for quantizing the filtered DCT coefficient vector, and a compressor for compressing the quantized results.