Disclosed are an electronic device and an operation method of the electronic device, and the electronic device may include a communication circuit configured to transmit or receive data using a call channel established via a call connection with an external electronic device, and a processor, wherein the processor is configured to receive at least some packets of a first plurality of packets of a first frame via the call channel, to identify whether a lost packet is present in the first plurality of packets of the first frame, and to determine, based on the result of the identification, whether to perform frame rate conversion (FRC) based on the first frame and a second frame corresponding to a second plurality of packets received after the reception of the at least some packets. In addition, various other embodiments are possible.

A system and method for processing an input video while maintaining temporal consistency across video frames is provided. The method includes converting the input video from a first frame rate to a second frame rate, wherein the second frame rate is a faster frame rate than the first frame rate; generating processed frames of the input video at the second frame rate; and aggregating the processed frames using temporal sliding window aggregation to yield a processed output video at a third frame rate.

Embodiments of the present invention relate to the field of aerial vehicle technologies, and disclose a method and apparatus for video data transmission, an image transmitting terminal, and an aerial vehicle image transmission system. The method includes: acquiring an original image; converting the original image into a first image, the first image being an image conforming to a format of an audio/video interface; converting the first image into a second image, the second image being an image conforming to a format of an interface of a display apparatus; encoding the second image to obtain encoded video image frames; and transmitting the encoded video image frames to the display apparatus. By means of the image transmission method provided in this embodiment of the present invention, the image is transmitted in real time.

A system and method for learning human activities from video demonstrations using video augmentation is disclosed. The method includes receiving original videos from one or more data sources. The method includes processing the received original videos using one or more video augmentation techniques to generate a set of augmented videos. Further, the method includes generating a set of training videos by combining the received original videos with the generated set of augmented videos. Also, the method includes generating a deep learning model for the received original videos based on the generated set of training videos. Further, the method includes learning the one or more human activities performed in the received original videos by deploying the generated deep learning model. The method includes outputting the learnt one or more human activities performed in the original videos.

The present invention provides a video decoding method and a camera. Said method comprises: loading a video, and decoding each frame from the video; calculating, for any two adjacent frames, a first optical flow field; calculating, according to the first optical flow field, a second optical flow field of a position where a frame is to be inserted, the position being located between two adjacent frames; using the second optical flow field to calculate a corresponding pixel position, in a previous frame of two adjacent frames, of each pixel of the frame to be inserted, and assigning the pixel value of the previous frame to the pixel of the frame to be inserted; and placing the inserted frame and the decoded original frame together according to a time sequence, so as to reconstitute a video having a high frame rate. The present invention eliminates or improves discrete motion, providing a more fluent viewing experience.

Embodiments of the present disclosure disclose a video adaptation method, a related device, and a related storage medium. The method in the embodiments of the present disclosure includes: receiving indication information sent by a video receiving device, where the indication information is used to indicate an image super-resolution capability of the video receiving device; and if the indication information indicates that the image super-resolution capability of the video receiving device is enabled, obtaining a video having a target frame rate and a target resolution that correspond to the indication information and sending the video having the target frame rate and the target resolution to the video receiving device.

A method, system, and computer program for gathering information of an object moving in an area of interest by using AI-based video processing and analytics, object detection, and tracking moving objects from a video frame to frame. The system, method, and computer may be implemented as a platform including an analytics dashboard and a backend dashboard. The analytics dashboard enables via the UI to display to the user the camera feeds being monitored and analytics results from those feeds over a period of time. The backend dashboard allows the user to set up a camera feed themselves and post-process pre-captured video files using algorithms made available via the system that the user can pick and choose between.

An excellent display can be performed even when the frame rate changes dynamically at the reception side. When a switching portion at which a sequence of video streams to be transmitted is switched from a first sequence to a second sequence having a different frame rate from the first sequence is provided, display control information is inserted into at least encoded image data of a picture corresponding to the switching portion or a packet containing the encoded image data. A reception side performs display control of pictures using the display control information and implements an excellent display.

A networked system includes an application that produces application frames at a first application frame rate, a graphics processing system that processes the application frames to produce graphics frames at a first graphics frame rate, a VDI system that processes the graphics frames to produce VDI frames at a first VDI frame rate, and an endpoint device that processes the VDI frames to produce endpoint frames at an endpoint frame rate. A frame rate optimization system monitors the application processing, the graphics processing, the VDI processing, and the endpoint processing and, based on the endpoint frame rate, reconfigures at least one of: the application to produce the application frames at a second application frame rate, the graphics processing system to produce the graphics frames at a second graphics frame rate, or the VDI system to produce the VDI frames at a second VDI frame rate.

An image capturing apparatus that has an image capturing device including polarization elements and sets a proper frame rate according to a situation when acquiring a video using polarization information. The image capturing device an image capturing device including polarization pixels that detect polarization information of a plurality of different directions. The polarization information of the polarization pixels is determined by performing first polarization calculation or second polarization calculation which is smaller in calculation load than the first polarization calculation, on video signals output from the polarization pixels. A polarization-processed image is generated by using the polarization information. The first polarization calculation and the second polarization calculation are switched according to a predetermined timing, a mode, or a result of detecting a predetermined state.