Examples herein disclose capturing an image of printed text and a handwritten annotation and determining a topic as related to the printed text in the captured image. The examples disclose identifying a resource based on the handwritten annotation.

For the purpose of allowing fat to be stably distinguished irrespective of individual differences, so as to prevent damage to nerves that surround a target organ, an image processing device includes: a fat-image-region extracting unit that extracts a fat-image region that indicates a region, in a living-tissue image, where fat exists; a fat-color-component detecting unit that detects a fat-color-component amount that determines the color of fat, from the fat-image region extracted by the fat-image-region extracting unit; and a correction unit that corrects the signal intensity of the fat-image region extracted by the fat-image-region extracting unit on the basis of the fat-color-component amount detected by the fat-color-component detecting unit.

A vehicle control system based on a user input includes: a user information input device receiving a region of interest from a user; a vehicle movement information calculator calculating movement information of a vehicle; and a vehicle position relationship tracker performing a vehicle control based on the region of interest and the movement information of the vehicle.

Even in the case of a document file including an annotation and text within a page, the file size is reduced while retaining annotation and text information. An image processing apparatus that extracts an annotation object and a text object from a page of an input document file, converts other objects included within the page except for the extracted annotation object and text object into one image object, compresses the converted one image object, and generates page data based on the compressed image object and the extracted annotation object and text object.

A method for detecting a braking situation of a vehicle located on a traffic route, which has a task of ascertaining a red component of at least one image area of an image which depicts at least one section of the traffic route, and includes a task of determining the braking situation based on the red component.

Provided is a system for identifying a drug container that includes an image capture device configured to capture an optical image of a portion of a label provided to the drug container, and a non-transitory computer storage medium storing a plurality of features for each of a plurality of different drugs included in a database. The features associated with each of the plurality of different drugs are suggestive of an identity of a drug identity but do not, alone, positively identify the drug identity. A processing component is configured to receive data representing the optical image transmitted by the image capture device and to identify a candidate for the drug identity based on the plurality of features associated with the candidate.

The present invention discloses a depth sensing method, device and system based on symbols array plane structured light. The coded symbols array pattern is projected by the laser pattern projector to the target object or space, and the image sensor collects and obtains the successive sequence of the encoded image of the input symbols. Firstly, the input image encoded with the symbols is decoded. The decoding process includes preprocessing, symbols location, symbols recognition and symbols correction. Secondly, the disparity of the decoded symbols are calculated by the symbols match calculation between the decoded image of the input symbols with completed symbols recognition and the decoded image of the reference symbols with the known distance. Finally the depth calculation formula is combined to generate depth point cloud information of the target object or projection space that is represented in the form of grid. The present invention can quickly obtain high-resolution and high-precision depth information of the target object or projection space in dynamic scenes, which facilitates the porting or insertion as a module into the intelligent device for 3D modeling, 3D mapping, etc.

An image recognition approach employs both computer generated and manual image reviews to generate image tags characterizing an image. The computer generated and manual image reviews can be performed sequentially or in parallel. The generated image tags may be provided to a requester in real-time, be used to select an advertisement, and/or be used as the basis of an internet search. In some embodiments generated image tags are used as a basis for an upgraded image review. A confidence of a computer generated image review may be used to determine whether or not to perform a manual image review.

The method of the invention comprises: obtaining a sequence of at least two images, with different levels of illumination; extracting the region containing the sign in the image; calculating the luminance values of the signs; and obtaining the difference in luminance of the sign corresponding to the two levels of illumination. The value obtained is the luminance of the sign (11) corresponding to an illumination equal to the difference between the illuminations, or additional illumination. This result is based on the additive property of luminance, according to which the luminance of a sign is the sum of the luminance produced by each source of illumination. A basic illumination device (5), an additional illumination device (7), at least one camera for taking images, and image recording, positioning and synchronism systems are required to implement the method.

There is provided a method for automatically altering a digital video stream including multiple video input frames, to automatically obtain output frames with a target composition, in which frame metadata relating to objects in one or more of the video input frames is analyzed on a frame-by-frame basis and used by a processor to automatically alter one or more output frames to be more similar to, or to match, the target composition, wherein cropping is performed in 3D. A related system and a related computer program product are also provided.