A method, apparatus, and program product implement visual booking operations to search for travel products and/or present travel recommendations associated with travel products to users based upon visual elements in one or more digital images captured by a wearable or mobile device. Visual elements may be extracted and inferred to identify one or more travel destination locations that are geographically remote from a current location of a user, and the identified travel destination locations may be used to search a travel database to identify at least one travel product for travel from a travel origination location to a travel destination location.

[Object] To improve work efficiency with respect to work using a transparent object, such as a transparent operation tool, for example. [Solution] An image region where an object exists as a target region is detected on the basis of a second captured image, when a first captured image is a captured image obtained by selectively receiving a light of a first wavelength band, and the second captured image is a captured image obtained by selectively receiving a light of a second wavelength band, the captured images being obtained by capturing the object that is transparent for the light of the first wavelength band and is opaque for the light of the second wavelength band. Subsequently, an outline of the object is superimposed on the first captured image on the basis of information of the target region detected by the target detecting unit.

Systems and methods for performing OCR of a series of images depicting text symbols. An example method comprises: receiving a current image of a series of images of an original document, wherein the current image at least partially overlaps with a previous image of the series of images; performing optical symbol recognition (OCR) of the current image to produce an OCR text and a corresponding text layout; identifying, using the OCR text and the corresponding text layout, a plurality of textual artifacts in each of the current image and the previous image, wherein each textual artifact is represented by a sequence of symbols that has a frequency of occurrence within the OCR text falling below a threshold frequency; identifying, in each of the current image and the previous image, a corresponding plurality of base points, wherein each base point is associated with at least one textural artifact of the plurality of textual artifacts; identifying, using coordinates of matching base points in the current image and the previous image, parameters of a coordinate transformation converting coordinates of the previous image into coordinates of the current image; associating, using the coordinate transformation, at least part of the OCR text with a cluster of a plurality of clusters of symbol sequences, wherein the OCR text is produced by processing the current image and wherein the symbol sequences are produced by processing one or more previously received images of the series of images; identifying, for each cluster, a median string representing the cluster of symbol sequences; and producing, using the median string, a resulting OCR text representing at least a portion of the original document.

Systems and methods for performing OCR of a series of images depicting text symbols. An example method comprises: receiving a current image of a series of images of an original document, wherein the current image at least partially overlaps with a previous image of the series of images; performing optical symbol recognition (OCR) of the current image to produce an OCR text and a corresponding text layout; identifying, using the OCR text and the corresponding text layout, a plurality of textual artifacts in each of the current image and the previous image, wherein each textual artifact is represented by a sequence of symbols that has a frequency of occurrence within the OCR text falling below a threshold frequency; identifying, in each of the current image and the previous image, a corresponding plurality of base points, wherein each base point is associated with at least one textural artifact of the plurality of textual artifacts; identifying, using coordinates of matching base points in the current image and the previous image, parameters of a coordinate transformation converting coordinates of the previous image into coordinates of the current image; associating, using the coordinate transformation, at least part of the OCR text with a cluster of a plurality of clusters of symbol sequences, wherein the OCR text is produced by processing the current image and wherein the symbol sequences are produced by processing one or more previously received images of the series of images; identifying an order of clusters of symbol sequences, the order reflecting a layout of the original document; and producing, in view of the order of clusters, a resulting OCR text representing at least a portion of the original document.

An image processing apparatus processes a first image and a second image so as to detect a corresponding pixel in the second image which corresponds to a target pixel in the first image. The first image has a first parameter value, and the second image has a second parameter value different from the first parameter value. The first parameter value and the second parameter value are values of optical parameters of image capturing systems used to capture the first image and the second image. The image processing apparatus includes an area setter that sets a two-dimensional search area as a partial area in which the corresponding pixel is to be searched in the second image, based on a predetermined range in which each of the first and second parameter values can change, and a detector that detects the corresponding pixel by searching the two-dimensional search area.

A scaler circuit is provided. The scaler circuit includes a first scaler configured to perform a first horizontal scaling operation after a first vertical scaling operation, a second scaler configured to perform a second horizontal scaling operation after a second vertical scaling operation and a line memory which is shared by the first scaler and the second scaler. Each of the first scaler and the second scaler generates a first image and a second image, respectively, having different resolutions from a single image using the line memory.

A wearable smart device includes a sensor configured to detect data corresponding to a detected object, a memory configured to store a contact list including contact information for a plurality of contact devices and to store stored data corresponding to a plurality of stored objects, an antenna and a processor. The processor is programmed to determine whether the detected object can be identified by comparing the detected data to the stored data, to transmit the detected data to at least one of the plurality of contact devices via the antenna in response to not being able to identify the detected object by comparing the detected data to the stored data and to receive an identification of the detected object from the at least one of the plurality of contact devices. The wearable smart device also includes an output unit to output the identification of the detected object.

A method of recording a medicament dose using a data collection device comprises capturing an image of a medicament dose indicator of a medicament delivery device, adjusting a scale of said image, adjusting said image for skew of one or more characters displayed by the medicament dose indicator, determining the position of at least one of said one or more characters in the image, identifying the at least one character using optical character recognition and determining a medicament dose indicator by the medicament dose indicator based on a result of the optical character recognition. The method may be performed using a handheld electronic device comprising a camera, such as a cellphone, a tablet computer or other device. A computer program for controlling a data collection device to perform the method may be provided in the form of a software application or “app”.

A method of recording a medicament dose using a data collection device comprises capturing, by a video camera of said data collection device, a video showing a medicament dose indicator of a medicament delivery device, adjusting a scale of an image of said medicament dose indicator in said video, adjusting said image for skew of one or more characters displayed on a component of the medicament delivery device in said video, determining the position of at least one of said one or more characters in the image, identifying the at least one character using optical character recognition and determining a medicament dose shown by the medicament dose indicator based on a result of said optical character recognition. The method may include determining whether more than one delivery of medicament is recorded in the video and, if so, whether said more than one delivery includes one or more prime shots, so that an overall dosage delivered to a user may be determined based on multiple determined medicament doses. A wearable electronic device comprising a video camera may be used to obtain and analyse the video, for example, using software provided in an “app”. The wearable electronic device may be configured to be worn on the head of a user, to capture the video from the user's point of view.

System and method for presenting magnified images locked onto object of interest in operator environment. A camera disposed on head of operator captures images of scene, where camera moves in conjunction with head movements. A head tracker detects the operator LOS by detecting at least head orientation. A processor obtains designated coordinates of object of interest in scene, and determines relative angle between detected operator LOS and object. The processor determines coordinates of object in acquired images, and applies image processing for fine stabilization of images based on previous images so as to compensate for operator head movements. The processor rescales an image region surrounding object of interest, in accordance with at least one display parameter, to produce respective magnified image frames of object. A head-mounted display displays the magnified images to operator such that object of interest appears in a defined position on display regardless of operator head movements.