Abstract: Examples of encoders and video encoding are described that include optimizers and techniques for optimizing syntax elements such as transform coefficients. In some examples, multiple color components of a video signal may be jointly optimized by employing a cost calculation using a combination of distortion and/or rate metrics for multiple color components. In some examples, a color transformation may occur and the optimization may take place in a different color domain than encoding. In some examples, distortion metrics used in the cost calculations performed by optimizers are based on structural similarity index.

Abstract: Methods and apparatuses for optimizing rate-distortion of syntax elements are disclosed herein. An optimization block may be used in a video encoder and may include a candidate generation block and a best cost block. The optimization block may be configured to generate a plurality of candidates corresponding to respective differential levels. Each of the plurality of candidates may be based, at least in part, on a DC coefficient and provide a respective rate-distortion cost. The best cost block may be coupled to the candidate generation block and may be configured to select a candidate of the plurality of candidates according to a criteria.

Abstract: Apparatuses and methods are described included rate-distortion optimized quantization encoders utilizing HEVC sign data hiding techniques. An example of an apparatus may include an encoder. The encoder utilizes an optimization process which can be implemented in real-time hardware. The encoder may be configured to reduce the total bit cost of quantized coefficients while keeping distortion at an acceptable level, such as low as possible. The encoder may further employ sign data hiding which may be utilized at selected times in accordance with rate-distortion optimization.

Abstract: Apparatuses and methods for parameter selection are disclosed. An example apparatus may include an encoder configured to receive a coding unit and to provide coefficients based on the coding unit. The encoder may further be configured to quantize the coefficients using a first quantization parameter to provide a first set of quantized coefficients and to quantize the coefficients using a second quantization parameter to provide a second set of quantized coefficients. The encoder may further be configured to provide a first rate-distortion pair based on the first set of quantized coefficients and to provide a second rate-distortion pair based on the second set of quantized coefficients. The encoder may further be configured to provide a rate-distortion curve based on the first and second rate-distortion pairs and to provide a Lagrangian parameter based on the rate-distortion curve. The encoder may be configured to encode the coding unit using the Lagrangian parameter.

Abstract: Examples of apparatuses and methods for reducing rate and distortion costs during encoding by modulating a Lagrangian parameter are described herein. An example apparatus may include an encoder configured to provide an encoded bitstream based on a video signal. The encoder is configured to determine first rate and distortion values associated with a first quantization strength and a first Lagrangian parameter value for encoding a coding unit of the video signal. The encoder is further configured to select a second quantization strength and a second Lagrangian parameter value for encoding the coding unit that results in second rate and distortion values that are lower than the first rate and distortion values.

Abstract: Examples of apparatuses and methods for performing a joint RD optimization operation are described herein. A method may include successively encoding a macroblock using a plurality of coding modes. The method may further include determining a corresponding rate-distortion cost to encode the macroblock based on a corresponding coding mode of the plurality of coding modes. The method may further include determining a corresponding estimated rate-distortion cost to encode one or more macroblocks affected by encoding the macroblock using the corresponding coding mode. The method may further include selecting a coding mode of the plurality of coding modes having a lowest corresponding joint rate-distortion cost. The corresponding total rate-distortion cost comprises the corresponding rate-distortion cost to encode the macroblock and the corresponding estimated rate-distortion cost to encode the one or more of the affected macroblocks.

Abstract: Examples of encoders and video encoding are described that include optimizers and techniques for optimizing syntax elements such as transform coefficients. In some examples, multiple color components of a video signal may be jointly optimized by employing a cost calculation using a combination of distortion and/or rate metrics for multiple color components. In some examples, a color transformation may occur and the optimization may take place in a different color domain than encoding. In some examples, distortion metrics used in the cost calculations performed by optimizers are based on structural similarity index.

Abstract: Methods and apparatuses for optimizing rate-distortion of syntax elements are disclosed herein. An optimization block may be used in a video encoder and may include a candidate generation block and a best cost block. The optimization block may be configured to generate a plurality of candidates corresponding to respective differential levels. Each of the plurality of candidates may be based, at least in part, on a DC coefficient and provide a respective rate-distortion cost. The best cost block may be coupled to the candidate generation block and may be configured to select a candidate of the plurality of candidates according to a criteria.