This application provides a video information processing method performed by an electronic device. The method includes: determining a video image frame set corresponding to each of a first video and a second video, respectively; determining a static stitching region corresponding to image frames in the video image frame set; cropping the image frames in the video image frame set according to the static stitching region, and determining an image feature vector for the video based on a corresponding cropping result using a video information processing model; and determining a similarity between the first video and the second video based on an image feature vector corresponding to the first video and an image feature vector corresponding to the second video.

This application provides a video information processing method performed by an electronic device. The method includes: determining a video image frame set corresponding to each of a first video and a second video, respectively; determining a static stitching region corresponding to image frames in the video image frame set; cropping the image frames in the video image frame set according to the static stitching region, and determining an image feature vector for the video based on a corresponding cropping result using a video information processing model; and determining a similarity between the first video and the second video based on an image feature vector corresponding to the first video and an image feature vector corresponding to the second video.

This application provides a method and an apparatus for interaction processing of a virtual item, an electronic device, and a computer-readable storage medium. The method includes displaying at least one idle virtual item in a virtual scene; moving a first virtual object in the virtual scene in response to a movement operation on the first virtual object; displaying a pickable prompt of the idle virtual item when there is no obstacle between the idle virtual item and the first virtual object; and controlling the first virtual object to pick up the idle virtual item in response to a picking-up operation by the first virtual object.

This application provides a method and an apparatus for interaction processing of a virtual item, an electronic device, and a computer-readable storage medium. The method includes displaying at least one idle virtual item in a virtual scene; moving a first virtual object in the virtual scene in response to a movement operation on the first virtual object; displaying a pickable prompt of the idle virtual item when there is no obstacle between the idle virtual item and the first virtual object; and controlling the first virtual object to pick up the idle virtual item in response to a picking-up operation by the first virtual object.

A determination device includes an acquisition unit that acquires image data with a flash and an image data without a flash, the image data with a flash being captured in a state of using a flash, the image data without a flash being image data of an imaging object that is the same as the imaging object shown in the image data with a flash and being captured in a state of not using a flash, and a determination unit that determines whether or not the imaging object is a living body by comparing an eye area of the imaging object included in the image data with a flash with an eye area of the imaging object included in the image data without a flash.

A determination device includes an acquisition unit that acquires image data with a flash and an image data without a flash, the image data with a flash being captured in a state of using a flash, the image data without a flash being image data of an imaging object that is the same as the imaging object shown in the image data with a flash and being captured in a state of not using a flash, and a determination unit that determines whether or not the imaging object is a living body by comparing an eye area of the imaging object included in the image data with a flash with an eye area of the imaging object included in the image data without a flash.

A simultaneous localization and mapping-based electronic device includes: a data acquisition device configured to acquire external data; a memory; and a processor configured to be operatively connected to the data acquisition device and the memory, wherein the processor is further configured to extract features of surrounding objects from the acquired external data, calculate a score of a registration error of the extracted features when the number of the extracted features is greater than a set number stored in the memory, and select the set number of features from the among the extracted features, based on the calculated score.

A method includes obtaining (such as accessing, receiving, acquiring, etc.), using at least one processor of an electronic device, a machine learning model trained to process input data and generate output data over at least one range of values associated with one or more control variables. The method also includes providing, using the at least one processor, specified input data to the machine learning model and providing, using the at least one processor, one or more specified values of the one or more control variables to the machine learning model. The one or more specified values of the one or more control variables are within the at least one range of values. The method further includes performing inferencing using the machine learning model to process the specified input data and generate specified output data. The inferencing is controlled based on the one or more specified values of the control variable(s).

A method includes obtaining (such as accessing, receiving, acquiring, etc.), using at least one processor of an electronic device, a machine learning model trained to process input data and generate output data over at least one range of values associated with one or more control variables. The method also includes providing, using the at least one processor, specified input data to the machine learning model and providing, using the at least one processor, one or more specified values of the one or more control variables to the machine learning model. The one or more specified values of the one or more control variables are within the at least one range of values. The method further includes performing inferencing using the machine learning model to process the specified input data and generate specified output data. The inferencing is controlled based on the one or more specified values of the control variable(s).

Systems and methods for image-based perception. The methods comprise: obtaining, by a computing device, images captured by a plurality of cameras with overlapping fields of view; generating, by the computing device, spatial feature maps indicating locations of features in the images; defining, by the computing device, predicted cuboids at each location of an object in the images based on the spatial feature maps; and assigning, by the computing device, at least two cuboids of said predicted cuboids to a given object when predictions from images captured by separate cameras of the plurality of cameras should be associated with a same detected object.