Abstract:
The embodiments relate to a method comprising determining a coding mode of a transform block, wherein a transform block comprises a set of transform coefficients; determining a shape of the transform block; determining at least one transform mode for a block based at least partly on said coding mode and said shape of the transform block; applying the determined transform mode to a set of transform coefficients to produce sample values; and adding said sample values to a block of predicted sample values. The embodiments also relate to technical equipment for implementing the method.
Abstract:
A system and method for improving the coding efficiency of motion vector information in video coding. According to various embodiments, a list of motion vector predictor candidates is arranged according to predefined rules. Each motion vector also has a reference index associated with it. One of the motion vector candidates is then selected as a predictor based on predefined rules, or the selection is explicitly signaled in the bitstream. The reference index associated with the selected motion vector is used as a reference index for the current block. The reference index is predicted along with the motion vector. Such embodiments can improve the compression efficiency of modern video codecs.
Abstract:
The invention relates to a method for encoding, a method for decoding, an apparatus, computer program products, an encoder and a decoder for video information. The motion vector for a block in a video image is predicted from a set of motion vector prediction candidates determined based on previously-coded motion vectors. A motion vector prediction candidate is included in the set based on the location of the block associated with the first spatial motion vector prediction candidate and in comparison with motion vector prediction candidates already in the set.
Abstract:
The invention relates to a method for encoding, a method for decoding, an apparatus, computer program products, an encoder and a decoder for video information. The motion vector for a block in a video image is predicted from a set of motion vector prediction candidates determined based on previously-coded motion vectors. A motion vector prediction candidate is included in the set based on the location of the block associated with the first spatial motion vector prediction candidate and in comparison with motion vector prediction candidates already in the set.
Abstract:
A method comprising: receiving a first description of a first file, the first description including properties of at least a derived image included in or referred to by the first file; determining, based on the properties of the derived image, whether to obtain the derived image; and in response to determining to obtain the derived image, obtaining the first file comprising the derived image.
Abstract:
An apparatus configured to: determine to encode or decode a first coding tree unit, wherein a second coding tree unit is at least partially different from the first coding tree unit, wherein the second coding tree unit comprises a previously encoded or decoded coding tree unit; in response to determining to encode or decode the first coding tree unit, determine at least one stored syntax element value based, at least partially, on a location of the first coding tree unit; and update at least one state variable of the apparatus based, at least partially, on the at least one stored syntax element value.
Abstract:
The embodiments relate to a method and technical equipment for implementing the method. The method comprises receiving a block of input samples; performing at least a first inverse transform on a first set of input samples, resulting in a first set of inverse transformed samples; performing at least a second inverse transform on a second set of input samples, resulting in a second set of inverse transformed samples; determining statistical information related to the first set of inverse transformed samples and for determining statistical information related to the second set of inverse transformed samples; updating the first inverse transform based on the determined statistical information related to the first set of inverse transformed samples; and updating the second inverse transform based on the determined statistical information related to the second set of inverse transformed samples.
Abstract:
Various embodiments provide an apparatus, a method, and a computer program product. The apparatus includes at least one processor; and at least one non-transitory memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform; train or finetune one or more additional parameters of at least one neural network (NN) or a portion of the at least one NN, wherein the one or more additional parameters comprise one or more scaling parameters; and encode or decode one or more media elements based on the at least one neural network or a portion of the at least one NN comprising the trained or finetuned one or more additional parameters.
Abstract:
The embodiments relate to a method comprising obtaining sample values of a target area in a picture to be encoded (310); obtaining sample values of a regressor area in a picture to be encoded (320); determining at least one set of prediction coefficients by means of a linear regression (330); predicting the sample values of the target area using the determined at least one set of prediction coefficients to result in a first predicted sample values (340); determining best performing set of prediction coefficients (350); predicting the sample values of the target area using the best performing set of prediction coefficients (360); encoding an indication indicating the best performing set of prediction coefficients along the bitstream (370), and iterating the steps for all target areas in the picture to be encoded (380). The embodiments also relate to a decoding method, and apparatuses for encoding and decoding.
Abstract:
The embodiments relate to a method and a technical equipment for implementing the method. The method includes receiving a picture to be encoded; performing at least one prediction according to a first prediction mode for samples inside a block of the picture in a current channel; deriving an intra prediction mode from at least one coded block in a reference channel; performing at least one other prediction according to the derived intra prediction mode for the samples inside the block of the picture; and determining a final prediction of the block based on said at least one first and at least one second predictions with weights.