Tencent Technology (shenzhen) Company Limited

Tencent Technology Company Limited

Mei Jiang

Chen Ran

Yugeng Lin

Dianping Xu

Xiaoyi Jia

Jie Miao

Hailong Liu

Bo Song Chen

Jian Hua Liu

Lijian Mei

Haoyu Li

Minhui Wu

Yanhua Cheng

Huajie Huang

Yike Liu

Jinchang Xu

Zhikang Tan

Bolun Cai

Pengfei Xiong

Embodiments of this application disclose a headword extraction method performed by a computer device. The method includes: obtaining a sentence feature of a target sentence and word features of a plurality of words in the target sentence; extracting semantics of the sentence feature of the target sentence to obtain a semantic feature of the target sentence, and extracting semantics of the word feature of each word to obtain a semantic feature of the word; obtaining a respective matching degree between the semantic feature of each of the plurality of words and the semantic feature of the target sentence; and determining, among the plurality of words in the target sentence, a word with a largest corresponding matching degree as a headword of the target sentence. The method can improve the accuracy of headwords extracted from the target sentence.

Headword extraction method and apparatus, device, and storage medium

Walkie-talkie

A method includes: obtaining a first image including a target item; selecting a plurality of reference images corresponding to the first image from a database; performing word segmentation on item text information corresponding to the plurality of reference images to obtain a plurality of words; and extracting a key word meeting a reference condition from the plurality of words, and determining the extracted key word as an item name of the target item.

Method and apparatus for determining item name, computer device, and storage medium

A method for processing an encoded pattern, a storage medium, and an electronic device are disclosed in this application. An electronic device acquires a first encoded pattern to be recognized, the first encoded pattern being a pattern including predefined information encoded therein. The electronic device increases resolution of the first encoded pattern through a target model to obtain a target encoded pattern having a target resolution and corrects an edge of a sub-pattern in the target encoded pattern to obtain a second encoded pattern. Finally, the electronic device decodes the second encoded pattern using a code recognition module to obtain the predefined information. This application resolves the technical problem that an encoded pattern cannot be accurately recognized.

Method and apparatus for processing encoded pattern, storage medium, and electronic apparatus

This application relates to a target detection method performed at a computer device. The method includes: obtaining a to-be-detected image; extracting a first image feature and a second image feature corresponding to the to-be-detected image; performing dilated convolution to the second image feature, to obtain a third image feature corresponding to the to-be-detected image; performing classification and regression to the first image feature and the third image feature, to determine candidate position parameters corresponding to a target object in the to-be-detected image and degrees of confidence corresponding to the candidate position parameters; and selecting a valid position parameter from the candidate position parameters according to their corresponding degrees of confidence, and determining a position of the target object in the to-be-detected image according to the valid position parameter. The solutions in this application can improve robustness and consume less time.

Target detection method and apparatus, computer-readable storage medium, and computer device

A method for processing an encoded pattern, a storage medium, and an electronic device are disclosed in this application. An electronic device acquires a first encoded pattern to be recognized, the first encoded pattern being a pattern obtained after predefined information is encoded therein. The electronic device increases resolution of the first encoded pattern through a target model to obtain a second encoded pattern, the target model being obtained through training by using a predetermined third encoded pattern as an input and a predetermined fourth encoded pattern as an output, the third encoded pattern being obtained by decreasing resolution of the fourth encoded pattern, the third and the first encoded patterns being encoded in the same manner. Finally, the electronic device decodes the second encoded pattern using a code recognition module to obtain the predefined information. This application resolves the technical problem that an encoded pattern cannot be accurately recognized.

The present disclosure describes method, apparatus, and storage medium for identifying an identification code. The method includes obtaining, by a computer device, a to-be-detected picture. The computer device includes a memory storing instructions and a processor in communication with the memory. The method also includes detecting, by the computer device, an identification code in the to-be-detected picture to obtain a detection result, the detection result comprising target information of a target code corresponding to the identification code; sampling, by the computer device, the target code according to the target information, to obtain a sampled image; and decoding, by the computer device, the sampled image, to obtain an identification result corresponding to the identification code.

Method, apparatus, and storage medium for identifying identification code

A graphic code recognition method includes: displaying a target image, the target image comprising at least two graphic codes; in response to receiving a graphic code recognition operation on the target image for selecting one of the at least two graphic codes to recognize, obtaining graphic code position information of the at least two graphic codes in the target image; determining a target graphic code indicated by the graphic code recognition operation according to the graphic code position information, the target graphic code belonging to the at least two graphic codes; and displaying a target graphic code recognition result corresponding to the target graphic code.

Graphic code recognition method and apparatus, terminal, and storage medium

A method and an apparatus for image identification are provided. For example, the processing circuitry of the apparatus obtains first feature values of a first image feature for pixels in an image for barcode detection. The processing circuitry calculates measures that are indicative of changes of the first feature values in multiple directions within the image and determines a target area in the image for the barcode detection according to the measures. Further, the processing circuitry divides the target area into a plurality of sub-areas, and filters the sub-areas to determine a target sub-area for the barcode detection. Then, the processing circuitry obtains second feature values of a second image feature for the target sub-area. The second image feature is derived from the first image feature. The processing circuitry then identifies a barcode type in the target sub-area according to the second image feature.

Image identification method, terminal and non-volatile storage medium

A digital video conversion device is communicatively coupled to a TV set and a TV signal source, respectively, to pass TV signals from the TV signal source to the TV set. Upon receipt of a TV channel identification request from a mobile terminal via a wireless communication channel, the digital video conversion device acquires an image from the TV signals currently broadcasted on the TV set and extracts a plurality of station logo characteristic sets from the image, each station logo characteristic set corresponding to one of a plurality of station logo templates. After calculating a similarity score between each station logo characteristic set and a corresponding station logo template, the digital video conversion device identifies one of the plurality of station logo templates as matching the image based on their similarity scores and returns TV channel information associated with the identified station logo template to the mobile terminal.

Method and apparatus for identifying television channel information

A digital video conversion device is communicatively coupled to a TV set and a TV signal source, respectively, so as to pass TV signals from the TV signal source to the TV set. Upon receipt of a TV channel identification request from a mobile terminal via a wireless communication channel, the digital video conversion device acquires an image from the TV signals currently broadcasted on the TV set and extracts a plurality of station logo characteristic sets from the image, each station logo characteristic set corresponding to one of a plurality of station logo templates. After calculating a similarity score between each station logo characteristic set and a corresponding station logo template, the digital video conversion device identifies one of the plurality of station logo templates as matching the image based on their similarity scores and returns TV channel information associated with the identified station logo template to the mobile terminal.

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Shenzhen, China

Mei Jiang