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Institution

Zoran Corporation

About: Zoran Corporation is a based out in . It is known for research contribution in the topics: Signal & Pixel. The organization has 241 authors who have published 205 publications receiving 4901 citations.


Papers
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Patent
29 Dec 2004
TL;DR: In this article, an error correction decoder generates error correction data, representing error correction operations, and sorts the data into multiple sets, each set for correcting the errors in a respective row of an ECC block stored in an external buffer.
Abstract: In a device that utilizes a memory device, the access bandwidth of the memory device is efficiently utilized by determining a set of operations to be performed on information stored in the memory device, and sorting the operations into an order so as to minimize the number of accesses to the memory device to perform the operations. The sorted operations are then performed in that order. An example of such a device is an error correction decoder, such as for use with an optical disk reader or player. The error correction decoder generates error correction data, representing error correction operations, and sorts the error correction data into multiple sets, each set for correcting the errors in a respective row of an ECC block stored in an external buffer. The error correction operations are then performed row by row.

20 citations

Patent
02 Oct 2000
TL;DR: In this article, a DVD error correcting apparatus was proposed to increase the speed of operation by first correcting rows of DVD data from PI check bytes in a PI engine and storing it in SRAM and then feeding the corrected PI data into SDRAM and a PO engine, where only the syndromes are stored in an 8K SRAM, and only the bytes to be corrected are written to S DRAM.
Abstract: Speed of operation is increased in a DVD error correcting apparatus by first correcting rows of DVD data from PI check bytes in a PI engine and storing it in SRAM and feeding the corrected PI data into SDRAM and a PO engine, where only the syndromes are stored in an 8K SRAM, and only the bytes to be corrected are written to SDRAM. Speed of operation is enhanced by transferring most of the random and small burst of data to SRAM in big bursts with a minimum number of random accesses to the main SDRAM or DRAM.

20 citations

Patent
31 May 2011
TL;DR: A system for printing a document when it includes one or more target fonts that are emulated with at least one substitute font suitable for printing on a printing device is described in this article.
Abstract: A system for printing a document when it includes one or more target fonts that are emulated with at least one substitute font suitable for printing on a printing device. The substitute font appears visually similar to the target font, substantially preserves the original pagination and line breaks of the provided document, and the printing device is capable of printing the substitute font. A table is provided that lists strategies/logic for enabling the printing device to emulate each of a plurality of predetermined target fonts with a substitute font. These emulation strategies may include but are not limited to, identifying at least one of a resident font for the printing device, stretchable font, local font, or downloadable font to be substituted for the non-resident target font in the provided document.

19 citations

Patent
04 Oct 1993
TL;DR: In this article, a non-linear relationship of log(ACVdata) versus log(SF) is defined and the New Scale Factor (NSF) is calculated based on the initial scale factors (ISF1, ISF2), the accumulated code volumes for the two scale factors, and the target code volume (TCV) of the compressed file.
Abstract: Disclosed is an image compression coding device in which time domain image data is transformed to frequency domain data and then compressed by multiplying the frequency domain data by quantization coefficients scaled by a scale factor based on a non-linear relationship of log(ACVdata) versus log(SF). One or more statistical passes are made through the frequency domain data using initial scale factors in which ACV data is obtained based on the newly defined relationship. The New Scale Factor (NSF) is then calculated based on the initial scale factors (ISF1, ISF2), the accumulated code volumes for the two scale factors (ACVdata1, ACVdata2), and the target code volume (TCV) of the compressed file.

18 citations

Patent
27 Oct 2000
TL;DR: In this paper, a technique to automatically learn control sequences of a set of computer application programs is described, which can then be used by other applications to execute the learned control sequences.
Abstract: The invention includes a technique to automatically learn control sequences of a set of computer application programs. The invention makes use of a data structure into which control sequences from a set of computer application programs can be loaded. The data structure may then be used by other applications to execute the learned control sequences.

18 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20142
20121
20118
201014
200919
200821