Ati Technologies Ulc

Advanced Micro Devices Corporation

Jiao Wang

Edward A Harold

Lei Zhang

Mohamed K Cherif

Richard E George

Zhenhua Yang

Gabor Sines

Boris Ivanovic

Ihab Amer

Haibo Liu

Yang Liu

Baochun Li

Jinbo Qiu

Zheng Gong

Zhiqi Hao

Yao Wen Yu

Mehdi Semsarzadeh

Dennis Lew

Syed Y Ali

Ying Zhang

Still frame detection for single pass video data, including: determining that an average quantization parameter of a frame of video data falls below a quantization parameter threshold; determining whether an amount of skipped macroblocks in the frame meets a skipped macroblock threshold; and responsive to the amount of skipped macroblocks exceeding the skipped macroblock threshold, identifying the frame as a still frame.

Still frame detection in video data

An integrated circuit includes a TSV extending from a first surface of a semiconductor substrate to a second surface of the semiconductor substrate and having a first end and a second end, and a non-volatile repair circuit. The non-volatile repair circuit includes a one-time programmable (OTP) element having a programming terminal, wherein in response to an application of a fuse voltage to the programming terminal, the OTP element electrically couples the first end of the TSV to the second end of the TSV.

Reliable through-silicon vias

A technique for determining an adaptive quantization parameter offset for a block of encoded video includes obtaining a rate control factor for the quantization parameter, determining a content-based quantization parameter factor for the quantization parameter, determining an adaptive variance based quantization offset based on content-based quantization parameter factors for a frame prior to the current frame, and combining the rate control factor, the content-based quantization parameter factor, and the adaptive offset to generate the quantization parameter.

Adaptive offset for variance based quantization

Systems, apparatuses, and methods for generating a model for determining a quantization strength to use when encoding video frames are disclosed. A pre-encoder performs multiple encoding passes using different quantization strengths on a portion or the entirety of one or more pre-processed video frames. The pre-encoder captures the bit-size of the encoded output for each of the multiple encoding passes. Then, based on the multiple encoding passes, the pre-encoder generates a model for mapping bit-size to quantization strength for encoding video frames or portion(s) thereof. When the encoder begins the final encoding pass for one or more given video frames or any portion(s) thereof, the encoder uses the model to map a preferred bit-size to a given quantization strength. The encoder uses the given quantization strength when encoding the given video frame(s) or frame portion(s) to meet a specified bit-rate for the encoded bitstream.

Content adaptive quantization strength and bitrate modeling

Systems, apparatuses, and methods for calculating a quantization parameter (QP) for encoding video frames to meet a given bit budget are disclosed. Control logic coupled to an encoder calculates a complexity indicator that represents a level of difficulty in encoding a previous video frame. The complexity indicator is based at least in part on a first parameter associated with the previous video frame and corresponds to one or more of a variance, an intra-prediction factor, and an inter-to-intra ratio. The complexity indicator is then used by the control logic to calculate a preferred QP to use to encode the current video frame to meet a given bit budget. By using the preferred QP generated based on the complexity indicator, the encoder is able to make fewer QP adjustments during the frame. This helps to improve the visual quality of the resulting encoded video bitstream.

Efficient quantization parameter prediction method for low latency video coding

A method for determining a macroblock (MB) coding mode for a current MB in a dependent view. A window around a co-located MB in a base view is determined, wherein the co-located MB is a MB in the base view having a same location as the current MB in the dependent view. A coding mode complexity value (CMCV) is determined for each MB in the window, wherein the CMCV is based on a coding mode used to encode the MB. Rate distortion optimization (RDO) is performed for the current MB using a reduced number of coding modes if a total CMCV for all MBs in the window is less than a threshold, or using all supported coding modes if the total CMCV for all MBs in the window is greater than the threshold. A coding mode for the current MB is determined based on the RDO results.

Efficient mode decision method for multiview video coding based on motion vectors

A motion estimation apparatus and method (carried out electronically) provides for encoding of multiview video, such as stereoscopic video, by providing motion estimation for pixels in a dependent eye view, using motion vector information from a colocated group of pixels in a base eye view and neighboring pixels to the colocated group of pixels in the base eye view. The method and apparatus encodes a group of pixels in a dependent eye view based on the estimated motion vector information. The method and apparatus may also include obtaining a frame of pixels that includes both base eye view pixels and dependent eye pixels so that, for example, frame compatible format packing can be employed. In one example, estimating the motion vector information for a block of pixels, for example, in a dependent eye view is based on a median value calculation of motion vectors for a block of pixels in a base eye view and motion vectors for neighboring blocks of pixels to the colocated group of pixels in the base eye view. An apparatus and method may include transmitting the encoded dependent eye view and base eye view information to another device and decoding the encoded dependent eye view and base eye view information for display.

Motion estimation apparatus and method for multiview video

A method and apparatus are described for performing video encoding mode decisions. A down-scaled frame is received that includes a macroblock corresponding to a first subset of macroblocks of a first area in a full-scale frame. A first average motion vector is calculated for the first subset of macroblocks, and a second average motion vector is calculated for a second subset of macroblocks of a second area surrounding the first subset of macroblocks. A comparison of a threshold to a distance measure between absolute values of the first and second average motion vectors is performed. A prediction mode for the macroblock in the down-scaled frame is determined based on the comparison to generate predicted blocks.

Performing video encoding mode decision based on motion activity

A method and apparatus are described for performing video encoding mode decisions in a video transcoding system. A down-scaled frame may be received that includes at least one macroblock. The down-scaled frame may be associated with a full-scale frame having a plurality of macroblocks that have been downsampled. A weighting factor and a distance measure factor may be determined for each of the macroblocks in the full-scale frame. Predicted blocks may be generated based on the weighting and distance measure factors.

Performing video encoding mode decisions based on down-scaled macroblock texture complexity

Generally, an apparatus and a method for encoding multiview video downscale two views of the multiview video, determine a shift between the downscaled views, and encode one the two views using the shift.

Apparatus and method for fast multiview video coding

A method for coding a dependent view picture based on a reference picture includes selecting a reference picture from a base view picture list if a metric of intra macroblocks in an evaluated picture is greater than a first threshold, selecting a reference picture from a dependent view picture list if a metric of skipped macroblocks in the evaluated picture is greater than a second threshold, and coding a dependent view picture using the selected reference picture. An application-controlled weighting mechanism may be used if both of the thresholds are not met.

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Richmond Hill, Canada

Jiao Wang