A video processing device installable in a vehicle is disclosed. The vehicle includes: an imaging device imaging an outside of the vehicle and generating a first video signal; and a display device displaying a first video and a second video, the first video being generated based on the first video signal, the second video being generated by performing first processing on the first video signal. The video processing device includes: a first reception circuit to receive the first video signal from the imaging device; a hardware processor to receive the first video signal from the first reception circuit and perform the first processing; and a first transmission circuit to receive the first video signal from the first reception circuit, receive, from the hardware processor, a second video signal for displaying the second video, and transmit the first/second video signals to the display device.

The present disclosure relates to a standardized hot-pluggable transceiving unit with signal encoding or decoding capabilities. The transceiving unit comprises a housing with specific standardized dimensions and adapted to being inserted into a chassis of a hosting unit. The transceiving unit comprises a first connector for receiving a first signal comprising data in a first form. The transceiving unit comprises a coding module in the housing, for encoding or decoding the data of the first signal into a second signal having a second form. The transceiving unit comprises a second connector for outputting the second signal. The transceiving unit may comprise at least one additional coding module in the housing, for encoding or decoding data.

An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

Systems and methods for low-delay video streaming featuring multiple video compression ratios. One embodiment of the system includes: a real-time video encoder (RT-VE) that receives an incoming high-definition uncompressed video (HD-UV), processes the incoming HD-UV according to first and second compression ratios, and sends the processed video over a resource reservation communication link to a real-time video decoder (RT-VD). The compression delay added by the RT-VE is below the duration of a single video frame, and the RT-VD converts the processed video into an outgoing HD-UV. Wherein on-the-fly switches between the first and second compression ratios, while continuing to receive the incoming HD-UV uninterruptedly, are both visually lossless switches and maintain a total delay between corresponding frames of the incoming HD-UV and the outgoing HD-UV that is below duration of two video frames.

A multimedia device includes input ports dedicated to receiving a real-time media signal and a processor system dedicated to capturing the real-time media signal. The processor system defines an embedded environment. The input ports and the processor system are integrated into the multimedia capture device. The input ports include an audio input port and at least one of a visual-capture input port or a digital-image input port.

A conversion method for converting luminance of a video, including a luminance value in a first luminance range, to be displayed on a display apparatus includes: acquiring a first luminance signal indicating a code value obtained by quantization of the luminance value of the video; and converting the code value indicated by the acquired first luminance signal into a second luminance value determined based on a luminance range of the display apparatus, the second luminance value being compatible with a second luminance range with a maximum value smaller than a maximum value of the first luminance range and larger than 100 nit. This provides the conversion method capable of achieving further improvement.

Provided is a method of adaptively performing artificial intelligence (AI) downscaling on an image during a video telephone call of a user terminal. The method includes obtaining, from an opposite user terminal, AI upscaling support information of the opposite user terminal that is a target of a video telephone call, determining whether the user terminal is to perform AI downscaling on an original image, based on the AI upscaling support information, based on determining that the user terminal is to perform AI downscaling on the original image, obtaining a first image by AI downscaling the original image using a downscaling deep neural network (DNN), generating image data by performing first encoding on the first image, and transmitting AI data including information related to the AI downscaling and the image data.

Embodiments of this disclosure provide a video frame interpolation apparatus and method. The method includes calculating a bidirectional optical flow between a first frame and a second frame; an performing kernel and weight estimation according to the first frame and the second frame. An adaptive local convolutional kernel is generated by using a convolutional layer and a weight coefficient is generated by using another convolutional layer. A conversion on the first frame and the second frame is performed by using an adaptive conversion layer according to the bidirectional optical flow, the weight coefficient and the adaptive local convolutional kernel, so as to generate a conversion frame. A frame synthesis on the first frame, the second frame and the conversion frame is performed to generate an interpolation frame between the first frame and the second frame.

Embodiments of this disclosure provide a video frame interpolation apparatus and method. The method includes calculating a bidirectional optical flow between a first frame and a second frame; an performing kernel and weight estimation according to the first frame and the second frame. An adaptive local convolutional kernel is generated by using a convolutional layer and a weight coefficient is generated by using another convolutional layer. A conversion on the first frame and the second frame is performed by using an adaptive conversion layer according to the bidirectional optical flow, the weight coefficient and the adaptive local convolutional kernel, so as to generate a conversion frame. A frame synthesis on the first frame, the second frame and the conversion frame is performed to generate an interpolation frame between the first frame and the second frame.

An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.