Example implementations include a method, apparatus and computer-readable medium for configuring profiles for a camera, comprising receiving video from the camera. The implementations further include classifying a first scene of the first video stream. Additionally, the implementations further include determining a first metadata for the first scene. Additionally, the implementations further include selecting a first profile for the camera based on the first metadata, wherein the first profile comprises one or more configuration parameters, wherein values of each of the one or more configuration parameters of the first profile are based on the first metadata. Additionally, the implementations further include configuring the camera with the first profile.

Systems and methods are provided for processing and extracting content from an image captured using a mobile device. In one embodiment, an image is captured by a mobile device and corrected to improve the quality of the image. The corrected image is then further processed by adjusting the image, identifying the format and layout of the document, binarizing the image and extracting the content using optical character recognition (OCR). Multiple methods of image adjusting may be implemented to accurately assess features of the document, and a secondary layout identification process may be performed to ensure that the content being extracted is properly classified.

Real-time evaluation and enhancement of image quality prior to capturing an image of a document on a mobile device is provided. An image capture process is initiated on a mobile device during which a user of the mobile device prepares to capture the image of the document, utilizing hardware and software on the mobile device to measure and achieve optimal parameters for image capture. Feedback may be provided to a user of the mobile device to instruct the user on how to manually optimize certain parameters relating to image quality, such as the angle, motion and distance of the mobile device from the document. When the optimal parameters for image capture of the document are achieved, at least one image of the document is automatically captured by the mobile device.

An imaging apparatus includes a first output unit configured to output, outside the imaging apparatus, a first image that an image sensor, an imaging region of which is divided into a plurality of regions, has captured while an exposure condition is controlled for each of the plurality of regions, and a second output unit configured to output, outside the imaging apparatus, exposure information for each of the plurality of regions, the exposure information indicating the exposure condition to be applied to the corresponding one of the plurality of regions when the first image is captured. The second output unit is configured to complete outputting exposure information for a region to be subjected to exposure correction processing in the first image, out of the plurality of regions, before the first output unit completes outputting an image of the region to be subjected to exposure correction processing.

A method of capturing instrument data using a communications device includes sending an actuation signal to a camera to take a photograph of at least one instrument, one of either transmitting or receiving a trigger message between the communications device and the at least one instrument, storing the photograph in a memory on the communications device, determining associated information for the photograph, and transmitting the photograph, associated information and user information to a network. A communications device has a camera having an actuator, at least one communications link, a memory, and a processor configured to execute instructions that cause the processor to: send an actuation signal to the camera to take a photograph of an instrument when a user activates the actuator; send a trigger message to the instrument to save instrument data; store the photograph in the memory with associated information about the photo including user information; and transmit at least the photo, associated information, and the user information to a remote location.

Systems, methods, and computer readable media for performing task assignment, completion, and management within a crowdsourced surveillance platform. A remote server may identify targets for image capture and may assign capture tasks to users based on travel plans of the user. Users may be assigned task to capture image of target locations lying along a travel path. The remote server may aggregate data related to the captured images and use it to update a map and log changes to the target location over time.

Provided are a damage diagram creation method, a damage diagram creation device, a damage diagram creation system, and a recording medium capable of detecting damage with high accuracy based on a plurality of images acquired by subjecting a subject to split imaging. In a damage diagram creation method, damage of a subject is detected from each image (each image in a state of being not composed) constituting a plurality of images (a plurality of images acquired by subjecting the subject to split imaging), and thus, damage detection performance is not deteriorated due to deterioration of image quality in an overlapping area. Therefore, it is possible to detect damage with high accuracy based on a plurality of images acquired by subjecting the subject to split imaging. Detection results for the respective images can be composed using a composition parameter calculated based on correspondence points between the images.

An electronic device is provided. The electronic device includes at least one camera, and at least one processor operatively coupled to the at least one camera, wherein the at least one processor is configured to acquire data for a designated time using the at least one camera, and generate a plurality of contents based on the acquired data, and at least one content of the plurality of the contents has a different type.

An electronic device includes a first image sensor, a second image sensor, one or more image processing modules, and a display. The first image sensor generates first image data. The second image sensor generates second image data. The one or more image processing modules process one or more image data among the first image and the second image data. The display displays the one or more image data among the first image data or second image data processed by the one or more image processing modules. The thumbnail generation module generates thumbnail data using the one or more image data among the first image data and second image data processed by the one or more image processing modules. A method includes converting the plurality of image data into a format displayable on a display, and generating thumbnail data using the image data of the displayable format.

Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.