Patent classifications
H04N19/65
Systems and methods for compression with constraint on maximum absolute error
Systems and methods for performing rate-distortion optimization includes receiving an original data corresponding to a block of an image frame, and identifying a reconstructed version of the original data that minimizes a cost function. The cost associated with a particular reconstructed version of the original data may be based on an encoding rate associated with the particular reconstructed version of the original data, and a distortion between the original data and the particular reconstructed version of the original data in response to a supremum norm of error between the original data and the particular reconstructed version of the original data being less than or equal to a threshold value.
Signaling of scalability parameters in video bitstream
A method of decoding an encoded video bitstream using at least one processor includes obtaining a coded video sequence from the encoded video bitstream; obtaining a first syntax element indicating a number of a plurality of layers included in the coded video sequence; obtaining a second syntax element indicating whether the plurality of layers included in the coded video sequence are all independent layers; based on the first syntax element indicating that the number of the plurality of layers is greater than one, and the second syntax element indicating that the plurality of layers are not all the independent layers, obtaining a third syntax element indicating an output mode; determining the output mode based on the third syntax element; determining one or more output layers from among the plurality of layers based on the determined output mode; and outputting the one or more output layers.
Signaling of scalability parameters in video bitstream
A method of decoding an encoded video bitstream using at least one processor includes obtaining a coded video sequence from the encoded video bitstream; obtaining a first syntax element indicating a number of a plurality of layers included in the coded video sequence; obtaining a second syntax element indicating whether the plurality of layers included in the coded video sequence are all independent layers; based on the first syntax element indicating that the number of the plurality of layers is greater than one, and the second syntax element indicating that the plurality of layers are not all the independent layers, obtaining a third syntax element indicating an output mode; determining the output mode based on the third syntax element; determining one or more output layers from among the plurality of layers based on the determined output mode; and outputting the one or more output layers.
Image decoding device, image encoding device, and image decoding method
A video encoding device (2) includes a side information determination section (21) and a side information encoding section (22). The side information determination section (21) sets a quantization parameter for each macroblock in such a manner that a difference between quantization parameters for each pair of macroblocks with successive encoding orders is equal to one of n difference values, and transforms the difference into one of n indices with respect to each pair. The side information encoding section (22) generates a binary sequence having a length corresponding to the size of the absolute value of the index. The total of absolute values of the n indices is smaller than the total of absolute values of the n difference values.
Image decoding device, image encoding device, and image decoding method
A video encoding device (2) includes a side information determination section (21) and a side information encoding section (22). The side information determination section (21) sets a quantization parameter for each macroblock in such a manner that a difference between quantization parameters for each pair of macroblocks with successive encoding orders is equal to one of n difference values, and transforms the difference into one of n indices with respect to each pair. The side information encoding section (22) generates a binary sequence having a length corresponding to the size of the absolute value of the index. The total of absolute values of the n indices is smaller than the total of absolute values of the n difference values.
ADAPTIVE TEMPORAL FILTER FOR AN UNAVAILABLE REFERENCE PICTURE
A decoder includes circuitry configured to receive a bitstream, decode a plurality of video frames from the bitstream, determine for a current block of a current frame that a long term reference block update mode is enabled, determine a long term reference block update including pixel values and using the plurality of video frames, and update a portion of a long term reference frame with the long term reference block update. Related apparatus, systems, techniques and articles are also described.
VIDEO CODING METHOD AND APPARATUS, COMPUTER-READABLE MEDIUM AND ELECTRONIC DEVICE
This application belongs to the technical field of communication, and particularly relates to a video coding method and apparatus, a computer-readable medium and an electronic device. The video coding method, executed by the electronic device, includes obtaining historical signal strength information within a historical time period, the historical signal strength information representing a video transmission wireless network signal strength corresponding to each moment of the historical time period; predicting strength information of a next key frame according to the historical signal strength information, the strength information of the next key frame representing a wireless network signal strength for transmitting the next key frame; and determining a target data volume of the next key frame according to the strength information of the next key frame, and performing intraframe coding on the next key frame according to the target data volume.
NETWORK DEVICE AND ERROR HANDLING
A number of negatively affected (correctly received) packets due to packet loss is reduced by providing, and analyzing, error resilience in the packets of the sequence of packets and identifying, for each of runs of one or more lost packets of the sequence of packets, a first packet in the sequence of packets after the respective run of one or more lost packets, which carries a beginning of any of the tiles of the video data stream, and concurrently carries a slice, the slice header of which is contained in any of the packets of the sequence of packets not being lost. In particular, the side information overhead for transmitting the error resilience data is comparatively low compared to the reduction in negatively affected packets due to packet loss.
NETWORK DEVICE AND ERROR HANDLING
A number of negatively affected (correctly received) packets due to packet loss is reduced by providing, and analyzing, error resilience in the packets of the sequence of packets and identifying, for each of runs of one or more lost packets of the sequence of packets, a first packet in the sequence of packets after the respective run of one or more lost packets, which carries a beginning of any of the tiles of the video data stream, and concurrently carries a slice, the slice header of which is contained in any of the packets of the sequence of packets not being lost. In particular, the side information overhead for transmitting the error resilience data is comparatively low compared to the reduction in negatively affected packets due to packet loss.
Apparatus, a Method and a Computer Program for Video Coding and Decoding
A method includes maintaining a set of parameters or weights derived through online learning for a neural net; transmitting an update of the parameters or weights to a decoder; deriving a first prediction block based on an output of the neural net using the parameters or weights; deriving a first encoded prediction error block through encoding a difference of the first prediction block and a first input block; encoding the first encoded prediction error block into a bitstream; deriving a reconstructed prediction error block based on the first encoded prediction error block; deriving a second prediction block based on an output of the neural net using the parameters or weights and the reconstructed prediction error block; deriving a second encoded prediction error block through encoding a difference of the second prediction block and a second input block; and encoding the second encoded prediction error block into a bitstream.