Abstract: A method for multiview video data encoding is provided. The method includes: performing feature detection on first picture data relating to a first view to obtain a first set of features corresponding to said first view; generating a picture bitstream based on the first picture data relating to the first view; performing feature detection on second picture data relating to a second view to obtain a second set of features corresponding to said second view; performing feature matching of the first and second sets of features so as to identify an area of common characteristics; and performing prediction on second input picture data based on the area of common characteristics so as to generate a residual data bitstream.

Abstract: A method for multiview picture data encoding comprising the steps of: performing extraction of features from multiview picture data to obtain a plurality of feature maps; performing stitching and/or transforming of the obtained plurality of feature maps to obtain at least one panoramic map of features; performing transforming of the multiview picture data to select a plurality of patches of view of the multiview picture data; encoding the at least one panoramic map of features; and encoding the plurality of patches of view.

Abstract: Methods and devices for video data decoding and encoding are provided. The method for video data decoding includes: obtaining a picture bitstream; obtaining a feature bitstream indicating a residual set of features as a result of subtracting a second set of features detected in encoded picture data generated from original picture data by encoding from a first set of features detected in the original picture data; retrieving a decoded set of features from decoding the picture bitstream; and recovering the first set of features indicating the features detected in the input picture data from the decoded set of features and the residual set of features decoded from the feature bitstream.

Abstract: A visual feature processing method in an encoding device is disclosed. The visual feature processing method comprises: performing feature extraction from picture data to be encoded based on a predetermined feature extraction method to thereby obtain a set of extracted features; sorting the features in the set of extracted features based on a predetermined criterion; iteratively dividing the sorted set of extracted features in a plurality of subsets of features, said plurality of subsets of features comprising a first subset of features and at least one further subset of features, wherein the first subset of features is assigned a priority value which is higher than the priority value of the at least one further subset of features; and multiplexing the features of each subset of features for outputting for compressing, wherein the multiplexing is based on the priority value assigned to each subset of features.

Abstract: Computer-implemented methods, computer-readable media and devices for encoding video data using picture synthesis from features are provided. A computer-implemented method of encoding video data includes extracting features from a picture in a video; obtaining a predicted value of one or more regions in the picture by applying generative picture synthesis onto the features; obtaining a residual value of the one or more regions in the picture based on an original value of the one or more regions in the picture and the predicted picture; and encoding the residual value and the extracted features. Disclosed herein are also computer-implemented methods, computer-readable media and devices for decoding video data using picture synthesis from features.