The present invention relates to an image encoding and decoding technique, and more particularly, to an image encoder and decoder using unidirectional prediction. The image encoder includes a dividing unit to divide a macro block into a plurality of sub-blocks, a unidirectional application determining unit to determine whether an identical prediction mode is applied to each of the plurality of sub-blocks, and a prediction mode determining unit to determine a prediction mode with respect to each of the plurality of sub-blocks based on a determined result of the unidirectional application determining unit.

An information processing apparatus includes a memory and a processor configured to acquire an image of a digitized document and execute a first verification process by using image processing using artificial intelligence. The first verification process verifies whether a first requirement is satisfied. The first requirement is a specific requirement among multiple requirements that are required when the acquired image of the document is stored. The processor is also configured to execute a second verification process by using a determination process not using the artificial intelligence. The second verification process verifies whether a second requirement among the multiple requirements is satisfied. The second requirement is other than the first requirement. The processor is also configured to execute the first verification process and the second verification process in parallel and independently from each other and display a processing execution button for executing subsequent processing in response to obtaining a processing result indicating that the first requirement and the second requirement are both satisfied.

An intra prediction method and a device using the intra prediction method are provided. The intra prediction method includes the steps of: deriving a current prediction mode as a prediction mode of a current block; constructing neighboring samples of the current block with available reference samples; filtering the available reference samples; and generating predicted samples of the current block on the basis of the filtered available reference samples. The filtering step includes performing the filtering using the available reference sample located in the prediction direction of the current prediction mode and a predetermined number of available reference samples neighboring to the prediction direction of the current prediction mode.

An image processing method, an image processing device, an electronic apparatus, and a non-transitory computer-readable storage medium are provided. The image processing method includes: obtaining an original image; performing slicing processing on the original image to obtain multiple slice images of the original image; respectively processing the slice images through a first binarization model to obtain multiple slice binary images respectively corresponding to the slice images; performing stitching processing on the slice binary images to obtain a first binary image; processing the first binary image to obtain a pixel circumscribed contour image; processing the original image through a second binarization model to obtain a second binary image; synthesizing the second binary image and the first binary image according to positions of multiple circumscribed contour pixels in the pixel circumscribed contour image to obtain a synthetic image.

Technology for taking presentation data (for example, video images from a movie, audio from a podcast), determining that the content includes an untrue assertion (for example, “the United States only has 48 states”) and automatically correcting the presentation so that the untrue assertion is corrected (for example, replacing an incorrect video caption with “the United States has 50 states as of early 2021”).

An image integrated printing system includes an image capturing device, a host device, and a printing device. The image capturing device is for capturing an image of an object. The host device is electrically connected to the image capturing device and includes a storage unit, a recognition unit, and a processing unit. The storage unit is for storing the image transmitted from the image capturing device and a form. The recognition unit is for recognizing a field corresponding to the image from the form. The processing unit is electrically connected to the storage unit and the recognition unit and for combining the image with the field corresponding to the image to generate an output file. The printing device is electrically connected to the host device and for printing the output file.

Certain aspects and features of the present disclosure relate to analysis of physical media copies of wellbore schematics and the generation of corresponding digital wellbore schematics. Wellbore data may be analyzed by a wellbore schematic analysis tool to produce a structured data file containing information harvesting from a physical media copy of a wellbore schematic. This information may be compared to data from other wellbores and or may be used to generate a new digital wellbore schematic.

A method for automatic extraction of data from a graph, including text area locating and text box classification; locating of coordinate axes, and locating of the positions of hatch marks on the coordinate axes; legend locating and information extraction; extracting corresponding bar or polyline connected components according to legend color, and filtering and classification; determining key points on the X-axis and locating a corresponding X-axis label for each key point; locating key points of the bars and polyline according to the X-axis key points, determining labeled numerical text boxes that correspond to the key points, and identifying the numerical text; calculating a corresponding value for each pixel, and estimating corresponding values of the key points of the bars or polyline; determining a final result according to a difference between the estimated values and the recognized labeled values.

System and method to recognise characters from an image are disclosed. The method includes receiving the at least one image, pre-processing the at least one image, extracting a plurality of characters from the corresponding at least one image, extracting at least one structure from the corresponding at least one image upon applying an edge detection technique to extract a structure, identifying a template based on extracted structure, subjecting the plurality of characters into a plurality of ensemble AI models to extract one of a plurality of texts, a plurality of non-textual data and a combination thereof, comparing a plurality of extracted plurality of texts, a plurality of non-textual data, or a combination thereof from the corresponding plurality of ensemble AI models with each other, generating a confidence score and validating one of the plurality of accurate texts, the plurality of accurate non-textual data, or a combination thereof.

An electronic flight assistant device has a first processor coupled to a firmware memory containing machine readable instructions executable by the processor (Firmware) and a random access (RAM) memory; an electronic camera coupled to the processor; a visible-wavelength laser adapted to be gated and scanned by the processor; a switchable cockpit light; at least one digital radio coupled to the processor; and a housing containing the processor, electronic camera, laser, digital radio, and cockpit light; the firmware configured to perform optical reading of cockpit instruments, to determine error conditions, and to scan the laser to provide indications to a pilot of error conditions.