A method and a device for encoding/decoding an image are disclosed. The method for decoding an image comprises the steps of: decoding information on a quantization matrix; and restoring the quantization matrix on the basis of the information on the quantization matrix, wherein the information on the quantization matrix includes information indicating a DC value of the quantization matrix and/or information indicating differential values of quantization matrix coefficients.

An image decoding method and apparatus according to an embodiment may extract, from a bitstream, a quantization coefficient generated through core transformation, secondary transformation, and quantization; generate an inverse-quantization coefficient by performing inverse quantization on the quantization coefficient; generate a secondary inverse-transformation coefficient by performing secondary inverse-transformation on a low frequency component of the inverse-quantization coefficient, the secondary inverse-transformation corresponding to the secondary transformation; and perform core inverse-transformation on the secondary inverse-transformation coefficient, the core inverse-transformation corresponding to the core transformation.

An image decoding method and apparatus according to an embodiment may extract, from a bitstream, a quantization coefficient generated through core transformation, secondary transformation, and quantization; generate an inverse-quantization coefficient by performing inverse quantization on the quantization coefficient; generate a secondary inverse-transformation coefficient by performing secondary inverse-transformation on a low frequency component of the inverse-quantization coefficient, the secondary inverse-transformation corresponding to the secondary transformation; and perform core inverse-transformation on the secondary inverse-transformation coefficient, the core inverse-transformation corresponding to the core transformation.

Systems and methods for reducing latency through motion estimation and compensation techniques are disclosed. The systems and methods include a client device that uses transmitted lookup tables from a remote server to match user input to motion vectors, and tag and sum those motion vectors. When a remote server transmits encoded video frames to the client, the client decodes those video frames and applies the summed motion vectors to the decoded frames to estimate motion in those frames. In certain embodiments, the systems and methods generate motion vectors at a server based on predetermined criteria and transmit the generated motion vectors and one or more invalidators to a client, which caches those motion vectors and invalidators. The server instructs the client to receive input from a user, and use that input to match to cached motion vectors or invalidators. Based on that comparison, the client then applies the matched motion vectors or invalidators to effect motion compensation in a graphic interface. In other embodiments, the systems and methods cache repetitive motion vectors at a server, which transmits a previously generated motion vector library to a client. The client stores the motion vector library, and monitors for user input data. The server instructs the client to calculate a motion estimate from the input data and instructs the client to update the stored motion vector library based on the input data, so that the client applies the stored motion vector library to initiate motion in a graphic interface prior to receiving actual motion vector data from the server. In this manner, latency in video data streams is reduced.

Systems and methods for reducing latency through motion estimation and compensation techniques are disclosed. The systems and methods include a client device that uses transmitted lookup tables from a remote server to match user input to motion vectors, and tag and sum those motion vectors. When a remote server transmits encoded video frames to the client, the client decodes those video frames and applies the summed motion vectors to the decoded frames to estimate motion in those frames. In certain embodiments, the systems and methods generate motion vectors at a server based on predetermined criteria and transmit the generated motion vectors and one or more invalidators to a client, which caches those motion vectors and invalidators. The server instructs the client to receive input from a user, and use that input to match to cached motion vectors or invalidators. Based on that comparison, the client then applies the matched motion vectors or invalidators to effect motion compensation in a graphic interface. In other embodiments, the systems and methods cache repetitive motion vectors at a server, which transmits a previously generated motion vector library to a client. The client stores the motion vector library, and monitors for user input data. The server instructs the client to calculate a motion estimate from the input data and instructs the client to update the stored motion vector library based on the input data, so that the client applies the stored motion vector library to initiate motion in a graphic interface prior to receiving actual motion vector data from the server. In this manner, latency in video data streams is reduced.

A decoding device includes circuitry configured to decode a bit stream and generate a quantized value and inversely quantize the generated quantized value by using a flat scaling list, in a case where a block size of a transform block to which a transform skip is applied is larger than a 4 by 4 block size.

A decoding device includes circuitry configured to decode a bit stream and generate a quantized value and inversely quantize the generated quantized value by using a flat scaling list, in a case where a block size of a transform block to which a transform skip is applied is larger than a 4 by 4 block size.

A method comprising: receiving a plurality of duplicates of a serial bit stream, wherein said serial bit stream comprises a sequence of data packets; continuously dividing each of said duplicates of said serial bit stream based on sequential time windows; with respect to each of said time windows, aligning said data packets associated with each of said duplicates of said serial bit stream, received within said time window, based, at least in part, on data packet similarity; and recreating in real time said serial bit stream by selecting at least one of said aligned data packets as representing a next data packet in said sequence of data packets.

A method comprising: receiving a plurality of duplicates of a serial bit stream, wherein said serial bit stream comprises a sequence of data packets; continuously dividing each of said duplicates of said serial bit stream based on sequential time windows; with respect to each of said time windows, aligning said data packets associated with each of said duplicates of said serial bit stream, received within said time window, based, at least in part, on data packet similarity; and recreating in real time said serial bit stream by selecting at least one of said aligned data packets as representing a next data packet in said sequence of data packets.

An image processing device and method that enable suppression of an increase in the amount of coding of a scaling list. The image processing device sets a coefficient located at the beginning of a quantization matrix by adding a replacement difference coefficient that is a difference between a replacement coefficient used to replace a coefficient located at the beginning of the quantization matrix and the coefficient located at the beginning of the quantization matrix to the coefficient located at the beginning of the quantization matrix; up-converts the set quantization matrix; and dequantizes quantized data using an up-converted quantization matrix in which a coefficient located at the beginning of the up-converted quantization matrix has been replaced with the replacement coefficient. The device and method can be applied to an image processing device.