Approaches for dynamic pre-filtering of digital video based on video complexity and output bit rate. An adaptive video preprocessor determines a current video complexity of the digital video and an output bit rate. Thereafter, the adaptive video preprocessor dynamically updates the strength of one or more preprocessing filters based on the current video complexity and the output bit rate for the digital video. The adaptive video preprocessor may update the strength of a preprocessing filter based, at least in part, upon selected values of a video quality preference category. A video quality preference category may be assigned natural language values which may each be translated into a particular strength value for at least one of the one or more preprocessing filters.

Approaches for dynamic pre-filtering of digital video based on video complexity and output bit rate. An adaptive video preprocessor determines a current video complexity of the digital video and an output bit rate. Thereafter, the adaptive video preprocessor dynamically updates the strength of one or more preprocessing filters based on the current video complexity and the output bit rate for the digital video. The adaptive video preprocessor may update the strength of a preprocessing filter based, at least in part, upon selected values of a video quality preference category. A video quality preference category may be assigned natural language values which may each be translated into a particular strength value for at least one of the one or more preprocessing filters.

According to the present invention, there is provided a method of decoding an image, the method including: deriving an initial motion vector of a current block; determining a motion refinement vector of the current block; and determining a motion vector of the current block on the basis of the initial motion vector and the motion refinement vector. Herein, the initial motion vector is derived from any one of merge candidates included in a merge candidate list for the current block.

A method includes receiving transform coefficients corresponding to a scaled video input signal, the scaled video input signal including a plurality of spatial layers that include a base layer. The method also includes determining a spatial rate factor based on a sample of frames from the scaled video input signal. The spatial rate factor defines a factor for bit rate allocation at each spatial layer of an encoded bit stream formed from the scaled video input signal. The spatial rate factor is represented by a difference between a rate of bits per transform coefficient of the base layer and an average rate of bits per transform coefficient. The method also includes reducing a distortion for the plurality of spatial layers by allocating a bit rate to each spatial layer based on the spatial rate factor and the sample of frames.

A method, device, and computer-readable medium for decoding an encoded video bitstream using at least one processor, including obtaining a flag indicating that a conformance window is not used for reference picture resampling; based on the flag indicating that the conformance window is not used for the reference picture resampling, determining whether a resampling picture size is signaled; based on determining that the resampling picture size is signaled, determining a resampling ratio based on the resampling picture size; based on determining that the resampling picture size is not signaled, determining the resampling ratio based on an output picture size; and performing the reference picture resampling on a current picture using the resampling ratio.

A method, device, and computer-readable medium for decoding an encoded video bitstream using at least one processor, including obtaining a flag indicating that a conformance window is not used for reference picture resampling; based on the flag indicating that the conformance window is not used for the reference picture resampling, determining whether a resampling picture size is signaled; based on determining that the resampling picture size is signaled, determining a resampling ratio based on the resampling picture size; based on determining that the resampling picture size is not signaled, determining the resampling ratio based on an output picture size; and performing the reference picture resampling on a current picture using the resampling ratio.

A method for determining an initial bitrate for a communication includes receiving a communication request to establish a digital communication between a first user device and a second user device associated with a plurality of features including a geographical identifier identifying a geographical location associated with the first user device, a first network type connection associated with the first user device, a second network type connection associated with the second user device, and an average bitrate for a previous digital communication of the first user device. The method includes determining, using an initial bitrate predictor model configured to receive the plurality of features as feature inputs, an initial bitrate for the digital communication between the first user device and the second user device, and establishing the digital communication between the first user device and the second user device at the determined initial bitrate.

An electronic device includes a video encoding pipeline configured to encode source image data. The video encoding pipeline includes a first transcode engine and a second transcode engine. The electronic device also includes processing circuitry configured to determine a target throughput for a bin stream and determine whether to encode the bin stream using only the first transcode engine or both the first and second transcode engines based on the target throughput. The processing circuitry is also configured to cause only the first transcode engine to encode the bin stream or both the first and second transcode engines to encode the bin stream based on determining whether to encode the bin stream using only the first transcode engine or both the first and second transcode engines.

An electronic device includes a video encoding pipeline configured to encode source image data. The video encoding pipeline includes a first transcode engine and a second transcode engine. The electronic device also includes processing circuitry configured to determine a target throughput for a bin stream and determine whether to encode the bin stream using only the first transcode engine or both the first and second transcode engines based on the target throughput. The processing circuitry is also configured to cause only the first transcode engine to encode the bin stream or both the first and second transcode engines to encode the bin stream based on determining whether to encode the bin stream using only the first transcode engine or both the first and second transcode engines.

An image processing device 300, a non-transitory computer readable storage medium, a monitoring camera 200 and a method 100 of pre-processing images of a video stream before encoding the video stream are disclosed. The images are obtained S110, wherein the obtained images have a first resolution. The obtained images are subsampled S120 to intermediate images having a second resolution lower than the first resolution and lower than a third resolution. The intermediate images are upsampled S130 to output images having the third resolution, wherein the third resolution is the same for all images of the video stream.