Abstract: This application relates to a data storage method, a reading method, an apparatus, a storage medium, and a program product. The data storage method is applied to a processor and includes: (S1) obtaining event data; (S2) processing the event data, to obtain a plurality of data blocks and a plurality of corresponding metadata blocks, where each data block includes a part of processed event data, and each metadata block includes a start time, an end time, a quantity, and a compression manner of event data in a data block corresponding to the metadata block, and a storage address of the data block; and (S3) storing the plurality of data blocks into a first storage area, and storing the plurality of metadata blocks into a second storage area.

Abstract: This application provides an event data processing method, including: obtaining event data shot by an event camera, where the event data includes a timestamp of occurrence of an event, pixel coordinates, and a brightness change status; and generating an event frame matrix based on a plurality of pieces of event data within a preset time period, where a location of a matrix element in the event frame matrix corresponds to pixel coordinates, a value of the matrix element indicates whether there is an event at a corresponding pixel and an event polarity of a pixel with an event, if there is an event at the pixel, it indicates that brightness of the pixel is changed within the preset time period, or if there is no event at the pixel, it indicates that brightness of the pixel is not changed, and the event polarity includes increased brightness and decreased brightness.

Abstract: Embodiments of this disclosure relate to the multimedia processing field, and provide a video frame interpolation method, apparatus, and a device. In the video frame interpolation method in this disclosure, a first image at first time, a second image at second time, and sensor data captured by a dynamic vision sensor apparatus are obtained, and the sensor data includes dynamic event data between the first time and the second time. At least one target image is determined based on the first image, the second image, and the sensor data, where the at least one target image is an image corresponding to at least one target time between the first time and the second time. The dynamic event data is used to help compensate for motion information missing from existing image data. This implements accurate prediction of an intermediate image, and improves image prediction effect.

Abstract: An image sensor includes a pixel array and a color filter array covering the pixel array, where the color filter array includes a plurality of color filter elements, the plurality of color filter elements include at least one first color filter element and at least one second color filter element, each first color filter element includes a basic color filter and an extended color filter, and each second color filter element includes a plurality of basic color filters. A color of the extended color filter is different from a color of the basic color filter. An optical signal passing through the basic color filter is at least for imaging, and an optical signal passing through the extended color filter is for spectral measurement.