Patent classifications
H04N1/21
SYSTEMS AND METHODS FOR INTERPRETATION OF MEDICAL IMAGES
Systems, methods and applications for a system for obtaining a medical interpretation for medical images include a customer portal where a customer uploads one or more medical images and accesses a marketplace for obtaining the medical interpretation, where a medical case includes one or more medical images. The system also includes an image service provider portal where a medical imaging expert accesses the medical case and provides the medical interpretation. Further, the system includes a back-end server that stores the medical case and acts as a communication conduit between the customer and the medical imaging expert.
IMAGE FORMING APPARATUS, INFORMATION PROCESSING SYSTEM, IMAGE FORMING METHOD, AND PROGRAM
An image forming apparatus that forms an image on paper in accordance with a printing job includes: a communication unit that receives meeting information concerning a meeting; a storage unit that stores the meeting information received by the communication unit; an editing control unit that edits the meeting information stored in the storage unit in accordance with an execution time of the printing job; an operation display unit that freely outputs images or voices captured in the meeting based on the meeting information edited by the editing control unit; and an output control unit that controls output of the images or voices captured in the meeting and output from the operation display unit, wherein the output control unit finishes output of the images or voices captured in the meeting and output from the operation display unit before completion of the printing job.
Digital camera that sends electronic mail with event information
A digital camera comprises an image-capturing unit that captures an image of a photographic subject and acquires image data, a communication unit for sending and receiving electronic mail data including image data, a recording control unit that records the image data acquired by the image-capturing unit as photographed image data upon a recording medium, an email for sending creation unit that creates an email for sending, to which is attached an image based upon the photographed image data recorded upon the recording medium, and an email address setting unit that sets an email address as the destination of the email for sending. The email for sending creation unit creates a title or a text of the email for sending, based upon at least one of the photographed image data and the email address that has been set.
Information processing system
An information system includes a multifunction apparatus and a first server which are linked to each other over a network. The multifunction apparatus includes a reading section, an information obtaining section, a first transmitter, and a memory. The reading section reads the image of an original document. The information obtaining section obtains a destination information from the first server, the destination information indicating a destination to which the image is transmitted. The first transmitter transmits the image to the destination. The first server includes a memory and a second transmitter. The memory stores the destination information therein. The second transmitter transmits the destination information in the memory to the multifunction apparatus.
Information processing system
An information system includes a multifunction apparatus and a first server which are linked to each other over a network. The multifunction apparatus includes a reading section, an information obtaining section, a first transmitter, and a memory. The reading section reads the image of an original document. The information obtaining section obtains a destination information from the first server, the destination information indicating a destination to which the image is transmitted. The first transmitter transmits the image to the destination. The first server includes a memory and a second transmitter. The memory stores the destination information therein. The second transmitter transmits the destination information in the memory to the multifunction apparatus.
Systems and methods that leverage deep learning to selectively store images at a mobile image capture device
- Iwona Bialynicka-Birula ,
- Blaise Aguera-Arcas ,
- Daniel Ramage ,
- Hugh Brendan McMahan ,
- Oliver Fritz Lange ,
- Emily Anne Fortuna ,
- Divya Tyamagundlu ,
- Jess Holbrook ,
- Kristine Kohlhepp ,
- Juston Payne ,
- Krzysztof Duleba ,
- Benjamin Vanik ,
- Alison Lentz ,
- Jon Gabriel Clapper ,
- Joshua Denali Lovejoy ,
- Aaron Michael Donsbach
The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. The mobile image capture device is operable to input an image into at least one neural network and to receive at least one descriptor of the desirability of a scene depicted by the image as an output of the at least one neural network. The mobile image capture device is operable to determine, based at least in part on the at least one descriptor of the desirability of the scene of the image, whether to store a second copy of such image in a non-volatile memory of the mobile image capture device or to discard a first copy of such image from a temporary image buffer without storing the second copy of such image in the non-volatile memory.
Wide dynamic range electronic image recording and reproducing system
The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.
Camera data management and user interface apparatuses, systems, and methods
In certain embodiments, a mobile device having a digital camera captures a camera image, locally stores the camera image, automatically assigns the camera image to a session based on the camera image being captured during a particular time range, and provides, for display on a display screen of the mobile device, a session specific image manager pane together with a live camera sensor view in a graphical user interface, the session specific image manager pane including data representative of the camera image assigned to the session.
Enhanced Image Capture
Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.
Enhanced Image Capture
Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.