Provided are a method and apparatus for detecting a game currency state, an electronic device, and a computer-readable storage medium. The method includes the following. An original image frame and an image frame sequence of a scene of a game table in a halt state are acquired. Multiple regions for placing game currency are provided on the game table, and the original image frame is acquired when placement of the game currency is completed. In response to determining, based on the image frame sequence and the original image frame, that game currency information of a first region among the multiple regions is changed, game currency alert information is output. In response to recognizing, based on the image frame sequence, that a game currency operating object associated with a preset object appears in the first region, process alert information is output.

An event of interest may be tracked using a distributed intelligence video surveillance system. The distributed intelligence video surveillance system includes a lead video camera and a plurality of child video cameras that are configured to communicate with the lead video camera. One of the plurality of child video cameras may receive a video image and perform analytics and event generation for any events of interest found within the video image. The child video camera extracts metadata for any found events of interest and communicates the extracted metadata to the lead video camera. The lead video camera communicates the extracted metadata to others of the plurality of child video cameras so that the others of the plurality of child video cameras can be alerted to track the found events of interest.

Systems and methods for frequency management, including: an online media service configured to: receive a request for a media item, the request including a recipient identifier; identify a set of candidate media items ranked by a set of matching criteria; a frequency management service configured to: perform a query against a lookup service, where the query includes (i) an entity identifier of at least one candidate media item of the set of candidate media items, and (ii) the recipient identifier; receive a response from the lookup service including a quantity of impressions associated with the entity identifier and the recipient identifier; identify a predefined frequency threshold; determine that the frequency threshold is exceeded and exclude the at least one candidate media item from a result set based on the determination; and provide the result set including an identifier of at least one other candidate media item.

Embodiments described herein provide a system for analyzing a gameplay of a first video game. During operation, the system can obtain a stream of video frames associated with the gameplay. The system can then analyze the video frames to identify a set of features of the first video game. Here, a respective feature indicates the characteristics of a virtual object in a virtual environment of the first video game supported by a first game engine. Subsequently, the system can derive, based on the set of identified features, a set of parameters indicating one or more physical characteristics of one or more virtual objects in the virtual environment. The system can store the set of derived parameters in a file format readable by a second game engine different from the first game engine. This allows the second game engine to support a second video game that incorporates the physical characteristics.

A flight pushback state monitoring method based on multi-modal data fusion comprises: 1, constructing a control intention recognition rule, and recognizing a pushback intention from a control instruction sent by a controller; 2, constructing a flight intention recognition model, extracting an aircraft action from a real-time monitoring video, and capturing a flight intention; and 3, constructing an intention alignment fusion rule, and judging whether control intention information conflicts with flight intention information; by fusing the control intention and the flight intention, the method can realize the following auxiliary functions: timely judging whether the aircraft follows the pushback instruction sent by the controller, if a captain does not act according to the control instruction or acts arbitrarily without a control instruction, giving an inconsistent alarm, and a function of monitoring the flight pushback state is implemented.

Disclosed herein are systems and method for classifying objects in an image using a color-based machine learning classifier. A method may include: training, with a dataset including a plurality of images, a machine learning classifier to classify an object in a given image into a color class from a set of color classes of a first size; receiving an input image depicting at least one object belonging to the set of color classes; determining a subset of color classes that are anticipated to be in the input image based on metadata of the input image; generating a matched mask input indicating the subset set of color classes in the input image, wherein the subset of color classes is of a second size that is smaller than the first size; and inputting both the input image and the matched mask input into the machine learning classifier.

Implementations are described herein for formulating natural language descriptions based on temporal sequences of digital images. In various implementations, a natural language input may be analyzed. Based on the analysis, a semantic scope to be imposed on a natural language description that is to be formulated based on a temporal sequence of digital images may be determined. The temporal sequence of digital images may be processed based on one or more machine learning models to identify one or more candidate features that fall within the semantic scope. One or more other features that fall outside of the semantic scope may be disregarded. The natural language description may be formulated to describe one or more of the candidate features.

An information processing apparatus (2000) includes a summarizing unit (2040) and a display control unit (2060). The summarizing unit (2040) obtains a video (30) generated by each of a plurality of cameras (10). Furthermore, the summarizing unit (2040) performs a summarizing process on the video (30) and generates summary information of the video (30). The display control unit (2060) causes a display system (20) to display the video (30). Here, the display control unit (2060) causes the display system (20) to display the summary information of the video (30) in response to that a change in a display state of the video (30) the display system (20) satisfies a predetermined condition.

An information processing apparatus includes a setting unit configured to set an imaging condition under which an imaging apparatus captures a video, a region determination unit configured to determine a detectable region in which a detection target is detectable in the video, based on the imaging condition, an acquisition unit configured to acquire a desired detection condition under which a user desires detection for the detection target to be executed, and a condition determination unit configured to determine a detection condition under which the detection target is detected from the video, based on the desired detection condition and the detectable region determined based on at least one imaging condition.

Systems and methods for processing video content are disclosed. According to at least one embodiment, a method of processing video content includes: receiving the video content; identifying a portion of the video content based on one or more of a plurality of factors, the plurality of factors including colour, raster percentage, brightness, and temporal factors; and providing an indicator that facilitates visual recognition of the identified portion of the video content.