International Business Machines Corporation

Thomas A Horvath

Cesar Augusto Gonzales

Thomas K McCarthy

Andy G Lean

Krishna Chaitanya Ratakonda

Inching Chen

Norman H Kreitzer

Elliot N Linzer

Prasoon Tiwari

Brent Paulovicks

Gee-Gwo Mei

Bob Chao-Chu Liang

Min-Hsiung Lin

A computer readable medium is provided embodying instructions executable by a processor to perform a method for caching video data in a two-dimensional cache. The method includes storing the video data in the two-dimensional cache, addressing stored video data in the two-dimensional cache using a first tag for referencing video data of a first dimension, addressing the stored video data in the cache in terms of a second tag for referencing video data of a second dimension, and retrieving and outputting a portion of the stored video data from the two-dimensional cache according to one of the first tag and the second tag.

Two dimensional memory caching apparatus for high definition video

A system, method and article of manufacture are disclosed for processing Low Density Parity Check (LDPC) codes. The system comprises a multitude of processing units for processing the codes; and a processor chip including an on-chip, multi-port data cache for temporarily storing the LDPC codes. This data cache includes a plurality of input ports for receiving the LDPC codes from some of the processing units, and a plurality of output ports for sending the LDPC codes to others of the processing units. An off-chip, external memory stores the LDPC codes and transmits the LDPC codes to and receives the LDPC codes from at least some of the processing units. A sequence processor controls the transmission of the LDPC codes between the processor units and the on-chip data cache so that the LDPC codes are processed by the processing units according to a given sequence.

System and method for processing low density parity check codes using a deterministic caching apparatus

A method and apparatus, particularly suited to SIMD instruction sets, to filter streaming video information encoded under a predictive encoding algorithm specified under video encoding standards, such as MPEG 4 or H.264/AVC. The filtering operation de-blocks or removes unwanted borders in the perceived video. During the filtering process, a series of filtering mask is generated based on temporal and spatial statistics of predictive encoded video information, which is then recursively applied to the video in order to gate filtered or unfiltered video to an output channel according to coefficients of the masks. The filtering mask effectively yields a decision or rule-based map that transforms the video on a pixel-by-pixel basis thereby avoiding complex and processor-intensive decision tree logic customarily required to process individual pixels of successive macroblocks that may have different filtering requirements.

Method of filtering pixels in a video encoding process

A video decoder/format/frame rate converter with common memory is provided. This device decodes a compressed, interlaced video stream and converts the decoded output to a non-interlaced format and/or a format with a different frame rate.

Digital video decoder and deinterlacer, format/frame rate converter with

A sequential process-pipeline has a first processing stage (30) coupled to a CODEC (24) through a plurality of buffers, including an image data input buffer (28), an image data output buffer (26), and an address buffer (34). The image data input buffer stores, for each block of image data, control information for controlling the processing of an associated block of image data. The address buffer stores addresses, each of which identifies an initial address of a block of addresses within an image memory (22). A local controller (18) is responsive to the writing of an address into the address buffer to read the control information for a block to be processed, and to initiate the operation of the CODEC, in accordance with the read-out information, to execute a Discrete Cosine Transformation Process and a Discrete Cosine Transformation Quantization Process.

Sequential pipelined processing for the compression and decompression of

A method for computing n-dimensional decomposable image transformation using the 1D approach with constrained transpose memory provides a minimized rounding/truncation error. The method minimizes transpose memory size required to fulfill a defined accuracy requirement for n-dimensional image transformation. A set of input data elements are stored. Then, a first transform, of the multiple dimension transform, is performed on the set of input data elements so as to form an array of transformed data elements, each of the transformed data elements having a larger number of bits than the input data elements. A common range of the transformed data elements is determined, and a minimum number of bits required to represent the common range without loss of information is then determined. The memory word size available for storage of the transformed data elements is compared with a minimum number of bits so as to determine an excess number of bits. Only the excess number of bits of the transformed data is truncated/rounded so as to form an output set of data elements. Finally, the output set of data elements is stored.

Memory structure to minimize rounding/trunction errors for n-dimensional

The present invention provides an integrated display system for multi-media workstations wherein graphics image and video data are merged in a single frame buffer. The integrated display system employs 3-port VRAMs with a first serial access port for display data output, and a random access port for graphics data, a second serial access for video data input. The display system includes a single frame buffer memory system for a multi-media workstation which operates compatibly with display systems and logic designed for dual frame buffer systems and it uses the 3-port VRAM in combination with a means incorporating improved input locking, video update or refresh, and encoded video data input stream.

Integrated single frame buffer memory for storing graphics and video data

A sequential process-pipeline (12) has a first processing stage (30) coupled to a CODEC (24) through a plurality of buffers, including an image data input buffer (28), an image data output buffer (26), and an address buffer (34). The address buffer stores addresses, each of which identifies an initial address of a block of addresses within an image memory (22). Each block of addresses in the image memory stores a block of decompressed image data. A local controller (18) is responsive to the writing of an address into the address buffer to initiate the operation of the CODEC to execute a Discrete Cosine Transformation Process and a Discrete Cosine Transformation Quantization Process.

Process-pipeline architecture for image/video processing

An apparatus and method for displaying non-obscured pixels in a multiple-media motion video environment (dynamic image management) possessing overlaid windows. In an encoding process, only boundary values and identification values corresponding to each window on a screen are saved in memory of a hardware device. In a decoding process, the hardware device utilizes these initial boundary values saved in memory in such a way that when incoming video data enters the hardware device, the hardware device need only compare the incoming video data's identification with the identification saved in memory. The hardware device includes: compare logic devices, counters, minimal memory devices, a control logic block, and a driver.

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Stormville, NY, United States of America

Thomas A Horvath