公开(公告)号：US20190110053A1

公开(公告)日：2019-04-11

申请号：US15727517

申请日：2017-10-06

Applicant: QUALCOMM INCORPORATED

Inventor： MEGHAL VARIA ,  SERAG GADELRAB ,  WESLEY JAMES HOLLAND ,  JOSEPH CHEUNG ,  DAM BACKER ,  TOM LONGO

IPC: H04N19/162 ,  H04N19/12 ,  H04N5/917 ,  H04N19/172 ,  H04N19/46

Abstract: An exemplary method for intelligent compression uses a foveated-compression approach. First, the location of a fixation point within an image frame is determined. Next, the image frame is sectored into two or more sectors such that one of the two or more sectors is designated as a fixation sector and the remaining sectors are designated as foveation sectors. A sector may be defined by one or more tiles within the image frame. The fixation sector includes the particular tile that contains the fixation point and is compressed according to a lossless compression algorithm. The foveation sectors are compressed according to lossy compression algorithms. As the locations of foveation sectors increase in angular distance from the location of the fixation sector, a compression factor may be increased.

公开(公告)号：US20170083262A1

公开(公告)日：2017-03-23

申请号：US14995125

申请日：2016-01-13

Applicant: QUALCOMM INCORPORATED

Inventor： SERAG GADELRAB ,  SUDEEP RAVI KOTTILINGAL ,  MEGHAL VARIA ,  POOJA SINHA ,  UJWAL PATEL ,  RUOLONG LIU ,  JEFFREY CHU ,  SINA GHOLAMIAN ,  HYUKJUNE CHUNG ,  DAVID STRASSER ,  RAGHAVENDRA NAGARAJ ,  ERIC DEMERS

IPC: G06F3/06 ,  G06F13/16

CPC classification number: G06F3/0656 ,  G06F1/324 ,  G06F1/3275 ,  G06F1/3296 ,  G06F3/0613 ,  G06F3/0661 ,  G06F3/0683 ,  G06F13/1673 ,  Y02D10/126 ,  Y02D10/13 ,  Y02D10/14 ,  Y02D10/172

Abstract: Systems, methods, and computer programs are disclosed for controlling memory frequency. One method comprises a first memory client generating a compressed data buffer and compression statistics related to the compressed data buffer. The compressed data buffer and the compression statistics are stored in a memory device. Based on the stored compression statistics, a frequency or voltage setting of the memory device is adjusted for enabling a second memory client to read the compressed data buffer.

公开(公告)号：US20180302625A1

公开(公告)日：2018-10-18

申请号：US15490625

申请日：2017-04-18

Applicant: QUALCOMM INCORPORATED

Inventor： SERAG GADELRAB ,  CHINCHUAN CHIU ,  MOINUL KHAN ,  KYLE ERNEWEIN ,  TOM LONGO ,  SIMON BOOTH ,  MEGHAL VARIA ,  MILIVOJE ALEKSIC ,  KING-CHUNG LAI

IPC: H04N19/127 ,  G06F3/06 ,  H04N19/426 ,  H04N19/176 ,  H04N19/65 ,  G06T3/40 ,  G01K13/00

CPC classification number: H04N19/127 ,  G01K13/00 ,  G06F3/0604 ,  G06F3/064 ,  G06F3/0653 ,  G06F3/067 ,  G06T3/40 ,  H04N19/12 ,  H04N19/134 ,  H04N19/146 ,  H04N19/154 ,  H04N19/156 ,  H04N19/172 ,  H04N19/176 ,  H04N19/426 ,  H04N19/46 ,  H04N19/65 ,  H04N19/85

Abstract: An exemplary method for intelligent compression defines a threshold value for a key performance indicator. Based on the key performance indicator value, data blocks generated by a producer component may be scaled down to reduce power and/or bandwidth consumption when being compressed according to a lossless compression module. The compressed data blocks are then stored in a memory component along with metadata that signals the scaling factor used prior to compression. Consumer components later retrieving the compressed data blocks from the memory component may decompress the data blocks and upscale, if required, based on the scaling factor signaled by the metadata.

公开(公告)号：US20170228252A1

公开(公告)日：2017-08-10

申请号：US15406516

申请日：2017-01-13

Applicant: QUALCOMM INCORPORATED

Inventor： SERAG GADELRAB ,  MEGHAL VARIA ,  WISNU WURJANTARA ,  CLARA KA WAH SUNG ,  MARK STERNBERG ,  VLADAN ANDRIJANIC ,  ANTONIO RINALDI ,  VINOD CHAMARTY ,  POOJA SINHA ,  TAO WANG ,  ANDREW GRUBER

IPC: G06F9/46 ,  G06F17/30 ,  G06F15/78

CPC classification number: G06F9/467 ,  G06F13/1668 ,  G06F15/7807 ,  G06F16/1744 ,  G06F2212/401 ,  H03M7/30

Abstract: Various embodiments of methods and systems for managing compressed data transaction sizes in a system on a chip (“SoC”) in a portable computing device (“PCD”) are disclosed. Based on lengths of compressed data tiles associated in a group, wherein the compressed data tiles are comprised within a compressed image file, multiple compressed data tiles may be aggregated into a single, multi-tile transaction. A metadata file may be generated in association with the single multi-tile transaction to identify the transaction as a multi-tile transaction and provide offset data to distinguish data associated with the compressed data tiles. Using the metadata, embodiments of the solution may provide for random access and modification of the compressed data stored in association with a multi-tile transaction.

公开(公告)号：US20200092564A1

公开(公告)日：2020-03-19

申请号：US16588818

申请日：2019-09-30

Applicant: QUALCOMM INCORPORATED

Inventor： MEGHAL VARIA ,  SERAG GADELRAB ,  WESLEY JAMES HOLLAND ,  JOSEPH CHEUNG ,  DAM BACKER ,  TOM LONGO

IPC: H04N19/162 ,  H04N19/167 ,  H04N19/174 ,  H04N19/115 ,  H04N19/119 ,  G06F12/02 ,  H04N19/12 ,  H04N19/172 ,  H04N19/46 ,  H04N5/917

Abstract: An exemplary method for intelligent compression uses a foveated-compression approach. First, the location of a fixation point within an image frame is determined. Next, the image frame is sectored into two or more sectors such that one of the two or more sectors is designated as a fixation sector and the remaining sectors are designated as foveation sectors. A sector may be defined by one or more tiles within the image frame. The fixation sector includes the particular tile that contains the fixation point and is compressed according to a lossless compression algorithm. The foveation sectors are compressed according to lossy compression algorithms. As the locations of foveation sectors increase in angular distance from the location of the fixation sector, a compression factor may be increased.

公开(公告)号：US20180302624A1

公开(公告)日：2018-10-18

申请号：US15490620

申请日：2017-04-18

Applicant: QUALCOMM INCORPORATED

Inventor： SERAG GADELRAB ,  CHINCHUAN CHIU ,  MOINUL KHAN ,  KYLE ERNEWEIN ,  TOM LONGO ,  SIMON BOOTH ,  MEGHAL VARIA ,  MILIVOJE ALEKSIC

IPC: H04N19/127 ,  H04N19/426 ,  H04N19/65 ,  H04N19/103 ,  H04N19/176 ,  G01K13/00 ,  G01K1/14

Abstract: An exemplary method for intelligent compression defines a threshold value for a temperature reading generated by a temperature sensor. Data blocks received into the compression module are compressed according to either a first mode or a second mode, the selection of which is determined based on a comparison of the active level for the temperature reading to the defined threshold value. The first compression mode may be associated with a lossless compression algorithm while the second compression mode is associated with a lossy compression algorithm. Or, both the first compression mode and the second compression mode may be associated with a lossless compression algorithm, however, for the first compression mode the received data blocks are produced at a default high quality level setting while for the second compression mode the received data blocks are produced at a reduced quality level setting.