Qualcomm Incorporated

Other

King-Chung Lai

Anthony Patrick Mauro, Ii

Chienchung Chang

Milivoje M Aleksic

Moinul H Khan

Khaled Helmi El-Maleh

Ananthapadmanabhan Arasanipalai Kandhadai

Gilbert Christopher Sih

Chia-Yuan Teng

Hau Hwang

Chinchuan Andrew Chiu

Serag Gadelrab

Narendranath Malayath

Meghal Varia

Kyle Ernewein

Sumit Mohan

Yi Liang

Tom Longo

Simon Booth

Jatinder Singh

Milivoje Aleksic

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.

System and method for intelligent data/frame compression in a system on a chip

This disclosure describes adaptive spatial variant interpolation (SVI) techniques for image upscaling. In various embodiments, the interpolation techniques described in this disclosure may support low complexity upscaling of image while promoting high image quality, including enhanced sharpness, higher contrast and more accurate interpolation. The interpolation techniques may be applied using generalized finite impulse response (FIR) filters. In some embodiments, the interpolation techniques may be content-adaptive to provide more accurate interpolation while suppressing significant artifacts associated with sharp edges. In addition, the interpolation techniques may be readily applicable to upscaling of color imagery and video, e.g., in both YCbCr (luminance, blue chrominance, red chrominance) and RGB (red, green, blue) formats.

Adaptive spatial variant interpolation for image upscaling

Motion estimation in video compressions systems. A programmable motion estimator may be used to estimate a motion vector for a macroblock in a current frame by searching for a matching macroblock in a previous frame. A controller may be used to program the motion estimator to perform a particular search.

Motion estimation in video compression systems

A device has a single scaling filter to filter a video signal once to perform both sharpening and scaling. A memory stores original scaling filter coefficients for the scaling filter. An integrated circuit calculates new sharpening-scaling filter coefficients derived from the original scaling filter coefficients and one of sharpening filter coefficients for a sharpening filter and a sharpening strength and applies the new sharpening-scaling filter coefficients to the single scaling filter.

Scaling filter for video sharpening

This disclosure describes video encoding techniques capable of reducing the number of processing cycles and memory transfers necessary to encode a video sequence. In this manner, the disclosed video encoding techniques may increase video encoding speed and reduce power consumption. In general, the video encoding techniques make use of a candidate memory that stores video blocks in columns corresponding to a search space for a motion estimation routine. A memory control unit addresses the candidate memory to retrieve multiple pixels in parallel for simultaneous comparison to pixels in a video block to be encoded, e.g., using Sum of Absolute Difference (SAD) or Sum of Squared Difference (SSD) techniques. A difference processor performs the parallel calculations. In addition, for subsequent video blocks to be encoded, the candidate memory can be incrementally updated by loading a new column of video blocks, rather than reloading the entire search space.

Video encoding and decoding techniques

A color interpolation method uses a first interpolation function (F) to obtain a first missing color sub-pixel value for a pixel of interest and uses a second interpolation function (F) to obtain a second missing color sub-pixel value for the pixel of interest. First metric (V) indicative of an edge extending in a first direction (D) is obtained. Second metric (H) indicative of an edge extending in a second direction (D) is obtained. The two metrics are used to generate first and second weighting factors (k, k). A confidence factor value can be used to place more emphasis on one metric versus the other metric in the determination of the weighting factors. In one embodiment, the sub-pixel value being interpolated is the weighted sum of the first weighting factor multiplied by the first missing color sub-pixel value plus the second weighting factor multiplied by the second missing color sub-pixel value.

Confidence based weighting for color interpolation

This disclosure is directed to encoding techniques that can be used to improve encoding of digital video data. The techniques can be implemented by an encoder of a digital video device in order to reduce the number of computations and possibly reduce power consumption during video encoding. More specifically, video encoding techniques are described which utilize one or more programmable thresholds in order to terminate the execution of various computations when the computations would be unlikely to improve the encoding. By terminating computations prematurely, the amount of processing required for video encoding can be reduced, and power can be conserved.

Video encoding techniques

This disclosure is directed to encoding techniques that can be used to improve encoding of digital video data. The techniques can be implemented by an encoder of a digital video device in order to reduce the number of computations and possibly reduce power consumption during video encoding. More specifically, video encoding techniques are describe which utilize one or more programmable thresholds in order to terminate the execution of various computations when the computations would be unlikely to improve the encoding. By terminating computations prematurely, the amount of processing required for video encoding can be reduced, and power can be conserved.

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San Diego, CA, United States of America

King-Chung Lai