Systems and methods are described herein for inserting emoticons within a media asset based on an audio portion of the media asset. Each audio portion of a media asset is associated with a respective part of speech, and an emotion corresponding to the audio portion for the media asset is determined. A corresponding emoticon is identified based on the determined emotion in the audio portion and causing to be presented at the location within the media asset.

The present application discloses a video type detection method, apparatus, electronic device and storage medium. A specific implementation solution is as follows: obtaining N key frames of a first video, where N is an integer greater than 1, and a type of the first video is to be detected; obtaining M confidence scores corresponding to each of the N key frames by inputting each of the N key frames into M algorithm models corresponding to the first video type respectively, where M is an integer greater than 1; determining a confidence score of the first video by a fusion strategy algorithm model according to N×M confidence scores of the N key frames; and comparing the confidence score of the first video with a confidence score threshold corresponding to a first video type, to determine whether the type of the first video is the first video type or not.

An analytics device for monitoring maintenance on an elevator system performed by an individual including: a processor; and a memory including computer-executable instructions that, when executed by the processor, cause the processor to perform operations, the operations including: capturing a first video stream using a first video camera; extracting sequences from at least the first video stream; extracting features from the sequences; and analyzing, using a long short-term memory model, the sequence to determine whether the maintenance performed on the elevator system by the individual is performed correctly.

A monitoring project is defined interactively through an interface. Resources needed for the project are obtained, configured, arranged, and verified within a target area. Video and audio feeds are captured and analyzed during a project period within the target area and customer interactions and intentions are derived from detected customer behaviors within the feeds. The intentions and behaviors are indexed with aggregated metrics within a data store. The interface provides custom queries, reports, interactive graphics, and real-time notifications from the data store that depict the custom aggregated metrics for the intentions and behaviors of the monitoring project.

There is provided with an image processing apparatus. A detection unit detects an object from a captured image. A generation unit generates a map representing a correspondence between objects detected in a plurality of captured images. A determination unit matches the objects detected in the plurality of captured images based on the generated map.

An embodiment of the present disclosure provides a method using a computing device to initiate play of media within a medical examination or treatment room. The method may include: capturing a plurality of images by a one or more image capturers; determining whether any persons are within a predefined boundary area in one or more of the images using a face detector or person detector; determining whether any persons are outside of the boundary area in one or more of the images using the person detector; and initiating play of media when a first person is determined to be within the predefined boundary area and no persons are determined to be outside of the boundary area in the images.

A method for generating a synopsis video includes acquiring a target video and parameter data related to editing of the target video, wherein the parameter data comprises at least a duration parameter of a synopsis video of the target video; extracting a plurality of pieces of image data from the target video, and determining an image label of the image data, wherein the image label comprises at least a visual-type label; and determining a type of the target video, and establishing a target editing model for the target video according to the type of the target video, the duration parameter, and a plurality of preset editing technique submodels; and editing the target video according to the image label of the image data in the target video by using the target editing model to obtain the synopsis video of the target video

The present disclosure provides a game monitoring method, a game monitoring apparatus, a device and computer-readable storage medium. An image or video collection for a game area is performed, a state of a designated object within the game area is determined based on at least one collected frame, and a detection for the game area is stopped in response to determining that the designated object is in a first state and resumed in response to determining that the designated object is switched from the first state to a second state. Through the above solution, scenarios in which a game host performs some specific operations on the designated object, e.g. a game prop withdrawing device, can be identified automatically based on an image or video of the game area, and the detection for a game area can be stopped or resumed when these scenarios begin or end, which achieves monitoring the game more intelligently.

An method for determining a video coding test sequence, an electronic device, and a computer readable storage medium are provided. The method includes: determining a candidate video set including multiple candidate videos corresponding to a target service requirement; classifying the candidate videos by content categories to obtain a target distribution of content categories; clustering the candidate videos by values of a preset coding complexity to obtain multiple video classes; selecting from each of the video classes respectively a target class-representative video such that an actual distribution of content categories is consistent with the target distribution of content categories; and constructing a target video coding test sequence based on the target class-representative videos.

A method and an electronic device are provided for editing video using objects of interest included in the video. An electronic device includes a camera, a memory, and a processor. The processor may obtain first video data through the camera, while obtaining the first video data, determine a first object of interest in a plurality of image frames included in the first video data, store, in the memory, second video data generated from the first video data based on the first object of interest, after generating the second video data, receive a user input for determining a second object of interest, different from the first object of interest, in the plurality of the image frames included in the first video data, and in response to receiving the user input, store, in the memory, third video data generated from the first video data based on at least the second object of interest.