A picture search method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product, relating to the field of artificial intelligence that can obtain an OCR result of pictures in a preset picture library in response to a picture search request; traverse pictures which are not subjected to low-dimensional OCR processing and high-dimensional OCR processing in the preset picture library, and perform the low-dimensional OCR processing based on an OCR threshold on each of the traversed pictures to obtain a low-dimensional OCR result of each corresponding picture; determining a target picture matching a key character string in the preset picture library according to at least one of the low-dimensional OCR result and the high-dimensional OCR result of each picture; and determining the target picture as a search result of the picture search request, and displaying the search result.

A method and apparatus for detecting text regions in an image, a device, and a medium are provided. The method may include: detecting, based on feature representation of an image, a first text region in the image, where the first text region covers a text in the image, a region occupied by the text being of a certain shape; determining, based on a feature block of the first text region, text geometry information associated with the text, where the text geometry information includes a text centerline of the text and distance information of the centerline from the upper and lower borders of the text; and adjusting, based on the text geometry information associated with the text, the first text region to a second text region, where the second text region also covers the text and is smaller than the first text region.

A method for content recognition includes acquiring, from a content for recognition, a text piece and a media piece associated with the text piece, performing a first feature extraction on the text piece to obtain text features, performing a second feature extraction on the media piece associated with the text piece to obtain media features, and determining feature association measures between the media features and the text features. A feature association measure for a first feature in the media features and a second feature in the text features indicating an association degree between the first feature and the second feature. The method further includes adjusting the text features based on the feature association measures to obtain adjusted text features, and performing a recognition based on the adjusted text features to obtain a content recognition result of the content. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Disclosed are a method for acquiring information. The method includes: acquiring a file to be processed and an information type; recognizing at least one piece of candidate information related to the information type from the file to be processed; determining a target recognition feature and a semantic feature of each piece of candidate information, the target recognition feature is configured to describe a matching condition between the each piece of candidate information and the information type; and determining target information from the at least one piece of candidate information based on the target recognition feature and the semantic feature.

Disclosed are a method for acquiring information. The method includes: acquiring a file to be processed and an information type; recognizing at least one piece of candidate information related to the information type from the file to be processed; determining a target recognition feature and a semantic feature of each piece of candidate information, the target recognition feature is configured to describe a matching condition between the each piece of candidate information and the information type; and determining target information from the at least one piece of candidate information based on the target recognition feature and the semantic feature.

A method may include detecting, within a remote session, a gesture indicative of an intent of a participant in the remote session to share a resource included within content being shared by a first client device participating in the remote session. The resource may be available on a network. In response to detection of the gesture, information for accessing the resource may be extracted from an image of the content. At least a portion of the information may be provided to a second client device participating in the remote session to enable the second device to access the resource. Related systems and articles of manufacture are also provided.

Provided is an information processing apparatus that applies correction using a character recognition error pattern to a character recognition result of a document image, wherein the character recognition error pattern includes error pattern information on a character recognition result of a part where an error occurs in character recognition, correct pattern information applicable to the part where the error occurs, information on a frequency that the error occurs, and information on a state where the error occurs, and wherein the character recognition error pattern to be used in the correction is narrowed down based on the information on the frequency that the error occurs and the information on the state where the error occurs.

Provided is an information processing apparatus that applies correction using a character recognition error pattern to a character recognition result of a document image, wherein the character recognition error pattern includes error pattern information on a character recognition result of a part where an error occurs in character recognition, correct pattern information applicable to the part where the error occurs, information on a frequency that the error occurs, and information on a state where the error occurs, and wherein the character recognition error pattern to be used in the correction is narrowed down based on the information on the frequency that the error occurs and the information on the state where the error occurs.

An image-processing device includes: a character string detection unit configured to detect a character string of a specific item in a first document image based on a feature amount of the displayed first document image among feature amounts which are recorded in advance based on a result of learning using a plurality of document images and indicate features of the character string of the item for each kind of document image and each specific item; and an output unit configured to output information regarding a correspondence relation indicating the same specific item between the first document image and a second document image displayed to correspond to the first document image.

A translator pen and a translation method using same are provided. The translator pen includes a housing and a pen head. The housing forms a first accommodation cavity adapted to accommodate an image collector. An outer contour of the pen head is formed into a tapered shape, an outer diameter of the pen head gradually decreases along a direction of the pen head away from the housing and forms a second accommodation cavity adapted to accommodate a pen core. At least a portion of the end of the housing, which does not form the pen head, forms an inclined surface. The inclined surface is inclined relative to the outer contour of the pen head toward an outside of the housing along a direction of the housing away from the pen head. The image collector is configured to face the inclined surface.