Systems and methods for generating interpolated images are disclosed. In examples, image features are extracted from a first image and a second image; such image features may be warped using first and second plurality of parameters. A first candidate intermediate frame may be generated based on the warped first features and the warped second features. Multi-scale features associated with the image features extracted from the first image and the second image may be obtained and warped using the first and second plurality of parameters. A second candidate intermediate frame may be generated based on the warped first multi-scale features and the warped second multi-scale features. By blending the first candidate intermedia frame with the second candidate intermediate frame, an interpolated image may be generated.

A data storage device and method for auto-peeling of surveillance video content to increase archival storage is provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to determine that available storage space in the memory is less than a threshold; in response to determining that the available storage space in the memory is less than the threshold: read a video file from the memory; and re-encode the video file to decrease a size of the video file, wherein re-encoding the video file increases available storage space in the memory without deleting the video file. Other embodiments are provided.

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 method for developing an enhancement model for low-quality visual data, the method comprising the steps of receiving one or more sections of higher-quality visual data; and training a hierarchical algorithm. The hierarchical algorithm is operable to increase the quality of one or more sections of lower-quality visual data so as to substantially reproduce the one or more sections of higher-quality visual data. The hierarchical algorithm is then outputted.

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.

A method of processing video data including determining, for a conversion between a video and a bitstream of the video, that the bitstream includes an indicator. The indicator indicates that a first parameter set for a neural network (NN) filter model includes different filter parameters than a second parameter set for the NN filter model. The method further includes performing the conversion based on the indicator. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

A method of processing video data including determining, for a conversion between a video and a bitstream of the video, that the bitstream includes an indicator. The indicator indicates that a first parameter set for a neural network (NN) filter model includes different filter parameters than a second parameter set for the NN filter model. The method further includes performing the conversion based on the indicator. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

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.

Systems and techniques are provided for a camera server for heterogeneous cameras. A camera server may include a computing device that may a receive image data from a first camera and second image data from a second camera of a heterogenous system that may be a trapped ion quantum computer. The first camera may observe trapped ions. The second camera may observe optical systems and laser beams. The second image data may have a different format than the first image data. The computing device may convert the image data and the second image data into a format for a common data structure for image data, send the image data in the format for the common data structure for image data to client computing devices, and send the second image data in the format for the common data structure for image data to additional client computing devices.

Systems and techniques are provided for a camera server for heterogeneous cameras. A camera server may include a computing device that may a receive image data from a first camera and second image data from a second camera of a heterogenous system that may be a trapped ion quantum computer. The first camera may observe trapped ions. The second camera may observe optical systems and laser beams. The second image data may have a different format than the first image data. The computing device may convert the image data and the second image data into a format for a common data structure for image data, send the image data in the format for the common data structure for image data to client computing devices, and send the second image data in the format for the common data structure for image data to additional client computing devices.