A method of palette management for palette coding in a video coding system receives input data associated with a current block in a high-level picture structure and initializes a palette predictor in the high-level picture structure before a corresponding palette of a first palette-coded block in the high-level picture structure is coded. If a palette mode is selected for the current block, the method applies the palette coding to the current block using a current palette and updates the palette predictor based on the current palette to generate an updated palette predictor for a next block coded in the palette mode.

A method of palette management for palette coding in a video coding system receives input data associated with a current block in a high-level picture structure and initializes a palette predictor in the high-level picture structure before a corresponding palette of a first palette-coded block in the high-level picture structure is coded. If a palette mode is selected for the current block, the method applies the palette coding to the current block using a current palette and updates the palette predictor based on the current palette to generate an updated palette predictor for a next block coded in the palette mode.

Techniques related to eye contact correction to provide a virtual user gaze aligned with a camera while the user views a display are discussed. Such techniques may include encoding an eye region of a source image using a pretrained neural network to generate compressed features, applying a pretrained classifier to the features to determine a motion vector field for the eye region, and warping and inserting the eye region into the source image to generate an eye contact corrected image.

In imaging processing, image data outputted from an imaging device is acquired as a data string formed of a first display value expressed by a first number of gradations obtained through conversion of a luminance value in accordance with preset nonlinear conversion characteristics. The first display value is compressed in accordance with preset compression characteristics, and outputted as a second display value expressed by a second number of gradations smaller than the first number of gradations. A recognition target is detected from an image expressed by compressed data that is a data string formed of the second display value. A ratio of the second number of gradations to the first number of gradations is taken as a basic compression ratio, a luminance range including at least a recognition target range that is a luminance range where the recognition target is estimated to be present is taken as a specified range, and the first display value corresponding to a boundary luminance value that is a minimum luminance value in the specified range is taken as a boundary first display value. In the recognition target range, the compression characteristics are set so that the second display value is a sum of a compressed value and the boundary first display value, the compressed value being obtained by compressing a value of not less than the boundary first display value among the first display values at a low compression ratio lower than the basic compression ratio.

In imaging processing, image data outputted from an imaging device is acquired as a data string formed of a first display value expressed by a first number of gradations obtained through conversion of a luminance value in accordance with preset nonlinear conversion characteristics. The first display value is compressed in accordance with preset compression characteristics, and outputted as a second display value expressed by a second number of gradations smaller than the first number of gradations. A recognition target is detected from an image expressed by compressed data that is a data string formed of the second display value. A ratio of the second number of gradations to the first number of gradations is taken as a basic compression ratio, a luminance range including at least a recognition target range that is a luminance range where the recognition target is estimated to be present is taken as a specified range, and the first display value corresponding to a boundary luminance value that is a minimum luminance value in the specified range is taken as a boundary first display value. In the recognition target range, the compression characteristics are set so that the second display value is a sum of a compressed value and the boundary first display value, the compressed value being obtained by compressing a value of not less than the boundary first display value among the first display values at a low compression ratio lower than the basic compression ratio.

Method and system of video decoding incorporating frame compression to reduce frame buffer size are disclosed. The method adjusts parameters of the frame compression according to decoder system information or syntax element in the video bitstream. The decoder system information may be selected from a group consisting of system status, system parameter and a combination of system status and system parameter. The decoder system information may include system bandwidth, frame buffer size, frame buffer status, system power consumption, and system processing load. The syntax element comprises reference frame indicator, initial picture QP (quantization parameter), picture type, and picture size. The adaptive frame compression may be applied to adjust compression ratio. Furthermore, the adaptive frame compression may be applied to a decoder for a scalable video coding system or a multi-layer video coding system.

Method, device and electronic equipment for coding/decoding are provided. The coding method includes: restricting range information about Block copying Vector(s) (BV(s)) of an Intra Block Copying (IBC) mode is determined; and the restricting range information is written into a bitstream. In the present disclosure, the problem of reduction in data processing efficiency caused by the fact that a BV range may not be determined when using IBC in the related technology is solved, the data processing efficiency may be improved, and meanwhile, smooth implementation of a coding or decoding process may also be ensured.

According to one embodiment, an image processing apparatus includes an encoding unit that compresses an input image for each pixel block having a size smaller than a line to generate a plurality of compressed blocks, and store the compressed blocks in a frame buffer, a reading unit that identifies an object block to be expanded among the compressed blocks, and reads the object block from the frame buffer, a decoding unit that expands the object block to generate an expanded block, and an information acquiring unit that acquires, based on the expanded block, position information used by the reading unit to identify the block to be expanded, or decode information used by the decoding unit to expand another compressed block.

A discrete-type imaging device includes a camera head and a camera control unit, and video shot by the camera head is transmitted to the camera control unit via a plurality of transmission lines. A temperature sensor measures a temperature of the camera head. A high-temperature control unit determines whether the temperature measured exceeds a predetermined threshold value. A signal processing unit reduces a number of lines used in the plurality of transmission lines when the temperature measured exceeds the predetermined threshold value and transmits video data accordingly.

A discrete-type imaging device includes a camera head and a camera control unit, and video shot by the camera head is transmitted to the camera control unit via a plurality of transmission lines. A temperature sensor measures a temperature of the camera head. A high-temperature control unit determines whether the temperature measured exceeds a predetermined threshold value. A signal processing unit reduces a number of lines used in the plurality of transmission lines when the temperature measured exceeds the predetermined threshold value and transmits video data accordingly.