The present disclosure pertains to an image-processing device and method that make it possible to suppress block noise. A βLUT_input calculator and a clip processor determine βLUT_input, which is a value inputted to an existing-β generator and an expanded-β generator. When the value of βLUT_input qp from the clip processor is 51 or less, the existing-β generator determines β using a LUT conforming to the HVEC standard, and supplies same to a filter process determination unit. When the value of βLUT_input qp from the clip processor is larger than 51, the expanded-β generator determines the expanded β and supplies same to the filter process determination part. This disclosure, for example, can be applied to an image processing device.

Image processing device and method

An improved loss recovery method for coding streaming media classifies each data unit in the media stream as an independent data unit (I unit), a remotely predicted unit (R unit) or a predicted data unit (P unit). Each of these units is organized into independent segments having an I unit, multiple P units and R units interspersed among the P units. The beginning of each segment is the start of a random access point, while each R unit provides a loss recovery point that can be placed independently of the I unit. This approach separates the random access point from the loss recovery points provided by the R units, and makes the stream more impervious to data losses without substantially impacting coding efficiency. The most important data units are transmitted with the most reliability to ensure that the majority of the data received by the client is usable. The I units are the least sensitive to transmission losses because they are coded using only their own data. While they provide the best coding efficiency, the P units are the most sensitive to data loss because the loss of one P unit renders useless all of the P units that depend on it. The remotely predicted units are dependent on the I unit, or in an alternative implementation, on another R unit.

Media coding for loss recovery with remotely predicted data units

A method of coding video data includes determining a candidate motion vector for each of one or more candidate portions of a video frame and determining a current motion vector for a current portion of a current frame. The current motion vector identifies a portion of a reference frame that at least partially matches the current portion of the current frame. The method also includes calculating a motion vector difference between the current motion vector and each of the candidate motion vectors, selecting one of the candidate motion vectors based on the calculated motion vector differences, signaling an index identifying the candidate portion having the selected one of the candidate motion vectors, and signaling the corresponding motion vector difference calculated with respect to the selected one of the candidate motion vectors.

Motion vector prediction

A system and method to process a signal sequence is described. A hybrid block matching and transform based N-Dimensional signal sequence encoder and decoder is disclosed. The encoder includes encoder side block matching predictor, which includes entropy based cost function which can be estimated from certain energy measure of the block matching difference; a fast block matching search method to learn the results from neighboring blocks and to perform large range search with only a small number of points to visit. A method is disclosed to dynamically adjust the cost function parameters and other coding control parameters based on encoder outputs, and to optimize the quality and performance of the encoder. A method is disclosed to enable exploring and rapid processing of fractional grid points for n-dimensional block matching. A hybrid block matching and transform based n-dimensional signal sequence decoder is disclosed. A memory organization and processing array structure to enable efficient processing of n-dimensional signal frames includes an n-dimensional memory capable of rapidly storing and accessing blocks of n-dimensional signals; a multi-level mass memory structure to store massive amount of data before transferring to the n-dimensional memory; and a signal processor array to process the data in the n-dimensional memory.

Method and apparatus for adaptive multiple-dimentional signal sequences encoding/decoding

Disclosed herein is a method for digital video encoding prediction comprising creating a constructed reference frame using an encoder and compressing a series of source video frames using the constructed reference frame to obtain a bitstream including a compressed digital video signal for a subsequent decoding process. The constructed reference frame is omitted from the series of digital video frames during the subsequent viewing process.

System and method for video encoding using constructed reference frame

A method of compressing video data having at least one frame having at least one block and each block having an array of pixels is provided. The method transforms the pixels of each block into coefficients and creates an optimal transmission order of the coefficients. The method also optimizes the speed of processing compressed video data by partitioning the data bitstream and coding each partition independently. The method also predicts fractional pixel motion by selecting an interpolation method for each given plurality or block of pixels depending upon at least one metric related to each given block and varies the method from block to block. The method also enhances error recovery for a current frame using a frame prior to the frame immediately before the current frame as the only reference frame for lessening quality loss during data transmission. Enhanced motion vector coding is also provided.

Video compression method

A system, apparatus, and method for encoding a video signal having a plurality of frames including a current frame The method includes identifying a first block within the current frame; determining at least one predictor token related to the first block; identifying a reference block within the plurality of frames; determining at least one prediction error token derived from a difference between the first block and the reference block; assigning the at least one predictor token to a first bitstream partition; assigning the at least one prediction error token to a second bitstream partition; and selecting a first encoding scheme for the first bitstream partition and a second encoding scheme for the second bitstream partition

Coder optimization using independent bitstream partitions and mixed mode entropy coding

Disclosed herein is a method for encoding data by determining a range where the data includes a sequence of symbols each associated with a probability of occurrence are disclosed herein. The method includes initializing the range, identifying a symbol set from the sequence of symbols, selecting at least one pre-calculated range adjustment vector based on the identified symbol set, adjusting the range using the pre-calculated range adjustment vector and encoding the identified symbol set based on the adjusted range.

Apparatus and method for coding using combinations

A system, apparatus, and method for decoding a video signal having a plurality of frames including a current frame. Decoding the video signal includes generating an alternate reference frame, detecting an error in the current frame and reporting the detected error, receiving a recovery frame in response to reporting the detected error, wherein the recovery frame is encoded using the alternate reference frame; and decoding the recovery frame using the alternate reference frame. The alternate reference frame occurs prior to the current frame in the video signal and is other than a frame immediately prior to the current frame.

Error recovery using alternate reference frame

A system, apparatus, and method for decoding a video signal having a plurality of frames including a current frame. Decoding the video signal can include generating an alternate reference frame having a first quality level, determining a boost value indicative of a second quality level higher than the first quality level, determining whether to apply the boost value to the alternative reference frame, and selectively applying the boost value to the alternative reference frame if it is determined to apply the boost value to the alternative reference frame. The alternate reference frame can occur prior to the current frame in the video signal and other than a frame immediately prior to the current frame.

Scott Lavarnway

Papers

Video compression method

Coder optimization using independent bitstream partitions and mixed mode entropy coding

Apparatus and method for coding using combinations

Error recovery using alternate reference frame

Enhancing compression quality using alternate reference frame