A smart reading device for a water meter and a controlling method thereof are provided. The smart reading device includes a fixing component, a casing, an image capturing component, an image analyzing component, and a transmitting component. The fixing component is used to be fixed onto the water meter. The casing is disposed on the fixing component. The image capturing component is disposed in the casing for capturing a numerical display area of the water meter so as to obtain a water consumption image. The water consumption image is analyzed by the image analyzing component or a relay device to obtain a water consumption value. The transmitting component is used for transmitting the water consumption value or the water consumption image to the relay device.

One or more highlights of a video stream may be identified. The highlights may be segments of a video stream, such as a broadcast of a sporting event, that are of particular interest to one or more users. According to one method, at least a portion of the video stream may be stored. The portion of the video stream may be compared with templates of a template database to identify the one or more highlights. Each highlight may be a subset of the video stream that is deemed likely to match the one or more templates. The highlights, an identifier that identifies each of the highlights within the video stream, and/or metadata pertaining particularly to the one or more highlights may be stored to facilitate playback of the highlights for the users.

Provided are a video title generation method, an electronic device and a storage medium, which relate to a technical field of video, and in particular to a technical field of short video. The method includes: obtaining a plurality of pieces of optional text information, for a first video file; determining central text information, from the plurality of pieces of optional text information, the central text information being optional text information with the highest similarity to content of the first video file; and determining the central text information as a title of the first video file. That is, an interest point in an original video file can be determined according to user's interactive behavior data on the original video file, and the original video file can be clipped based on the interest point to obtain a plurality of clipped video files, namely, short videos.

Provided are a video clipping and model training method, relating to the field of video technologies, and in particular, to the field of short video technologies. The video clipping method includes: acquiring interaction behavior data for an original video file; determining interaction heat at respective time points of the original video file, according to the interaction behavior data; selecting N time points with highest interaction heat, to take the selected time points as interest points of the original video file, where N is a positive integer; and clipping the original video file based on the respective interest points, to obtain N clipped video files. Therefore, high-quality short video files can be generated.

Systems and methods for performing OCR of an image depicting text symbols and imaging a document having a plurality of planar regions are disclosed. An example method comprises: receiving a first image of a document having a plurality of planar regions and one or more second images of the document; identifying a plurality of coordinate transformations corresponding to each of the planar regions of the first image of the document; identifying, using the plurality of coordinate transformations, a cluster of symbol sequences of the text in the first image and in the one or more second images; and producing a resulting OCR text comprising a median symbol sequence for the cluster of symbol sequences.

A card number recognition method and apparatus, a storage medium, and an electronic device are disclosed. The method includes: obtaining distribution format information of character bits of a card number sequence, where the distribution format information includes character bit spacing information of the card number sequence; recognizing a character sequence in a target image through a neural network model trained in advance, and obtaining character bit spacing information of the recognized character sequence; determining whether the character bit spacing information of the recognized character sequence is consistent with the character bit spacing information in the obtained distribution format information; and if the character bit spacing information of the character sequence is consistent with the character bit spacing information in the obtained distribution format information, determining that the recognized character sequence is target card numbers.

An image processing method and apparatus are provided. The method includes: acquiring a target image. The target image is an image obtained by capturing a dynamic image displayed by a first device by means of a second device. The dynamic image is used for indicating configuration information of the first device. The first device has a first attitude. The methods further includes identifying a primary graphic body of a first graphic and a secondary graphic body of the first graphic. The first graphic is a graphic in the target image. The method also includes determining a first character corresponding to the first graphic and identifying the first device based on the first character.

In one aspect, an example method includes a processor (1) applying a feature map network to an image to create a feature map comprising a grid of vectors characterizing at least one feature in the image and (2) applying a probability map network to the feature map to create a probability map assigning a probability to the at least one feature in the image, where the assigned probability corresponds to a likelihood that the at least one feature is an overlay. The method further includes the processor determining that the probability exceeds a threshold, and responsive to the processor determining that the probability exceeds the threshold, performing a processing action associated with the at least one feature.

According to an embodiment, an information processing apparatus comprises a first interface, a second interface, a third interface, and a processor. The first interface acquires a character string image that includes a character string. The second interface transmits and receives data to and from an internal device through a first network. The third interface transmits and receives data to and from an external device through a second network. The processor transmits, if the character string image includes personal information, the character string image to the internal device through the second interface and receive an input of the character string from the internal device and transmits, if the character string image does not include the personal information, the character string image to the external device through the third interface and receive an input of the character string from the external device.

A method, system and/or computer usable program product for automatically managing the conveying of messages among multiple communication channels including (i) receiving, from a first computing system, an on-line message addressed to a user, (ii) automatically categorizing the message among a predetermined set of message categories stored in memory, (iii) identifying a set of on-line message channels preselected by the addressee user for receiving messages for each of the predetermined set of message categories, (iv) identifying a set of performance metrics stored in memory for optimizing message channel selection, (v) utilizing the performance metrics to automatically select an optimum message channel from the preselected message channels for sending the categorized message to a second computing system of the addressee user, (vi) automatically formatting the categorized message for the optimum message channel, and (vii) sending the formatted message on-line to the second computing system of the addressee user across the optimum message channel.