An electronic device and a method of operating the same, the electronic device including a first decoder that decodes frames configuring a multimedia file stored in an external storage device; an encoder that encodes decoded frames included in a first decoded file; memory; and a controller that reads the multimedia file from the external storage device, extracts the frames from the read multimedia file, controls the first decoder and the encoder, and controls the memory to store the video thumbnail file output from the encoder.

An encoder includes circuitry and memory coupled to the circuitry. The circuitry, in operation, generates a first coefficient value by applying a CCALF (cross component adaptive loop filtering) process to a first reconstructed image sample of a luma component, generates a second coefficient value by applying an ALF (adaptive loop filtering) process to a second reconstructed image sample of a chroma component, and clips the second coefficient value. The circuitry generates a third coefficient value by adding the first coefficient value to the clipped second coefficient value, and clips the third coefficient value. The circuitry encodes a third reconstructed image sample of the chroma component using the clipped third coefficient value.

Various embodiments set forth a computer-implemented method for processing media files comprising receiving an index file corresponding to a source media file, wherein the index file indicates location information associated with a plurality of encoded portions of the source media file; retrieving one or more encoded portions included in the plurality of encoded portions from at least one storage device based on the index file; and generating at least part of an encoded version of the source media file based on the one or more encoded portions.

Various embodiments set forth a computer-implemented method for processing media files comprising receiving an index file corresponding to a source media file, wherein the index file indicates location information associated with a plurality of encoded portions of the source media file; retrieving one or more encoded portions included in the plurality of encoded portions from at least one storage device based on the index file; and generating at least part of an encoded version of the source media file based on the one or more encoded portions.

The present disclosure relates to an image processing device and an image processing method that enable image processing to be performed with a smaller number of line buffers.

The image processing device includes a decoding unit that decodes a bitstream to generate an image according to an encoding standard in which a horizontal size of one tile is restricted for each level by a restriction value. The restriction value is set according to a maximum value MaxLumaPs of the number of luminance picture samples, and also restricts a vertical size of one tile. The present technology can be applied to, for example, an image processing system that performs encoding and decoding according to the VVC method.

The present disclosure relates to an image processing device and an image processing method that enable image processing to be performed with a smaller number of line buffers.

The image processing device includes a decoding unit that decodes a bitstream to generate an image according to an encoding standard in which a horizontal size of one tile is restricted for each level by a restriction value. The restriction value is set according to a maximum value MaxLumaPs of the number of luminance picture samples, and also restricts a vertical size of one tile. The present technology can be applied to, for example, an image processing system that performs encoding and decoding according to the VVC method.

A method includes receiving a bit stream; determining, using the bit stream and for a current frame, whether the current frame is available to be used as a reference frame; setting, in response to determining that the current frame is available to be used as a reference frame, a variable characterizing that an adaptive resolution management mode is disallowed; and reconstructing pixel data of the current frame, wherein the adaptive resolution management mode is disallowed. Related apparatus, systems, techniques and articles are also described.

A display driver circuit configured to drive a display panel includes a memory, a decoder, and a controller. The memory stores first data using data from outside of the display driver circuit. The decoder decodes the stored first data. The controller generates compression data using the decoded first data. While an image based on the decoded first data is displayed on the display panel, when second data based on the data from the outside are not stored in the memory after the first data are stored in the memory, the controller controls the decoder such that the decoder does not operate and controls the memory such that the compression data are stored in the memory.

A video encoding device includes a local decode generation unit for generating a reference image based on a result of encoding of a divided image, a compression unit for compressing the reference image to generate a compressed data, a reference image storage determination unit for determining whether to store the compressed data in a memory, and an inter-prediction unit for performing motion vector search for inter-coding based on a reference image stored in the memory. The reference image storage determination unit sets an allowable data amount used for storing the reference image for each determined area of the moving image data, and determines whether or not to store the compressed data obtained by compressing the reference image in the memory based on the allowable data amount. Inter-prediction unit sets the reference image corresponding to the compressed data stored in the memory as the search range of motion vector search.

Techniques are described for compressing data using machine learning systems. An example process can include receiving input data for compression by a neural network compression system. The process can include determining, based on the input data, a set of updated model parameters for the neural network compression system, wherein the set of updated model parameters is selected from a subspace of model parameters. The process can include generating at least one bitstream including a compressed version of the input data and a compressed version of one or more subspace coordinates that correspond to the set of updated model parameters. The process can include outputting the at least one bitstream for transmission to a receiver.