Vixs Systems, Inc.

Vixs, Inc.

Ati International Srl

Jason Chan

Indra Laksono

Milivoje M Aleksic

Carl K Mizuyabu

Antonio Asaro

Tom Longo

Nader Akhlaghi-Tavasoli

A method for selectable quantization for use in an encoder for compressing video and/or audio data includes processing that begins by receiving discrete cosine transform data of an encoded signal. The processing continues by generating a plurality of quantization matrixes of discrete cosine transform data based on a quantization table and a plurality of quantization scaling factors. The process continues by analyzing the plurality of quantization matrixes to identify one of the plurality of quantization matrixes having a best match of reduced data content and acceptable video quality. The processing continues by selecting the one of the plurality of quantized matrixes.

Selectable quantization in an encoder

A circuit for transforming a raster image at least partially stored within an image buffer includes memory storing micro-code; a multiplier; an accumulator; and a sequential logic circuit. The multiplier is in communication with the image buffer and the memory and is operable to form a weighted pixel value as a product of a given pixel value from the buffer and an associated weighting factor within the micro-code. The sequential logic circuit is in communication with the memory and the buffer. It steps through the pixels and the memory to present pixels in the buffer and associated weighting factors from the micro-code, to the multiplier. The accumulator sums weighted pixel values calculated by the multiplier. Conveniently, the memory may be loaded with coefficients of linear equations to scale a raster image.

Raster image transformation circuit using micro-code and method

A method for selectable quantization for use in an encoder for compressing video and/or audio data includes processing that begins by receiving discrete cosine transform data of an encoded signal. The processing continues by obtaining a quantization table. The processing then continues by obtaining a plurality of scaling factors. The process then continues by generating a plurality of quantized value sets of the discrete cosine transform data based on the quantization table and the plurality of quantization scaling factors. The resulting data is then multiplied separately by each of the quantization scaling factors to produce the plurality of quantized values sets. The process then continues by selecting one of the plurality of quantized value sets based on quantization selection criteria.

Method and apparatus for selectible quantization in an encoder

A system and a method for transcoding multiple media channels are provided. The system includes a first processor to parse a media data stream having one or more media data channels and a vector processor to decompress, scale, and then compress the parsed media channel. A parsed media data channel, in one embodiment, is accessed using a bit manipulator and packetized into decoder instruction packets and transmitted to the vector processor using a sequencer. The vector processor decompresses the decoder instruction pacets, scales a macroblock generated from the packets, and then compresses the scaled macroblock. As a result, the scaled and compressed output has less data associated with the media channel, allowing for faster and/or more efficient storage or transmission. A reduced sized scale buffer is associated with another disclosed embodiment.

Method and system for bit-based data access

A method and apparatus for controlling the amount of quantization processing used within an encoder that compresses video and/or audio data include processing that begins by receiving discrete cosine transform data of a block of a frame of data. The process then proceeds by obtaining a quantization table related to the frame of data. The processing then continues by obtaining a quantization scaling factor related to the frame. The processing then continues by determining whether quantization processing limits have been exceeded for quantization of preceding blocks of the frame of data. If the number of bits processed for the preceding blocks exceeds a certain desired level, the processing increases the quantization scaling factor. The processing then continues by generating quantization data from the discrete cosine transform data, the quantization table and the increased quantization scaling factor.

Method and apparatus for controlling amount of quantization processing in an encoder

A system and a method for transcoding multiple media channels is disclosed herein. The system includes a first processor to parse a media data stream having one or more media data channels and a vector processor to decompress, scale, and then compress the parsed media channel. A parsed media data channel, in one embodiment, is accessed using a bit manipulator and packetized into decoder instruction packets and transmitted to the vector processor using a sequencer. The vector processor decompresses the decoder instruction packets, scales a macroblock generated from the packets, and then compresses the scaled macroblock. As a result, the scaled and compressed output has less data associated with the media channel, allowing for faster and/or more efficient storage or transmission. A reduced sized scale buffer is associated with another disclosed embodiment.

Method and system for accessing data

A request for video or graphics data is made to a memory controller. When the memory controller determines a translation of the data must first be made, a request is made to a translator. The translator either translates the address or requests translation information from the memory controller. The memory controller accesses memory based upon the translator request. If the request is for translation data the results are tagged for the translator. If the translator request is for the translated address, the results are tagged for the original request.

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Markham, Canada

Jason Chan