A substitute image generating section generates a substitute image corresponding to second image data on the basis of first image data. According to success or failure of reception of the second image data, a display control section causes either one of the to-be-displayed image generated on the basis of the second image data and the substitute image generated on the basis of the first image data to be displayed. The substitute image generating section starts the generation of the substitute image corresponding to the second image data based on the first image data before the success or failure of the reception of the second image data is confirmed.

Methods are described herein for determining a resolution indication for a resolution of a display device, determining a closest stored bitmap from a plurality of stored bitmaps according to the resolution indication, where each of the plurality of stored bitmaps are named according to a naming convention, the naming convention associating a name of one of the plurality of stored bitmaps and a resolution representation of the one of the plurality of stored bitmaps to the one of the plurality of stored bitmaps, the plurality of stored bitmaps being components for controls, each of the components for controls including one or more graphical elements, and, displaying a digital image corresponding to the closest stored bitmap.

Aspects of the subject disclosure may include, for example, obtaining image content over a communication network, determining a predicted viewpoint of a user associated with the image content, and adjusting the image content to equirectangular image content according to the predicted viewpoint. Further aspects can include downscaling the equirectangular image content according to a display capability of a mobile device resulting in a downscaled equirectangular image content, cropping the downscaled equirectangular image content resulting in a cropped equirectangular image content, and providing, over the communication network, the cropped equirectangular image content to the mobile device. Other embodiments are disclosed.

A system receives image data associated with an item, where the image data comprising a view of the item from two or more angles; determines physical attributes of the item; generates a base model of the item; samples the base model to generate one or more sampled models, each of the one or more sampled models comprising a subset of the geometric data, the subset of the geometric data determined based on one or more device characteristics of one or more user devices that interface with the system; receives device characteristics of a user device associated with a request from the user device for the item; selects, based on the received device characteristics, a sampled model of the item; and transmits a data object comprising the selected sampled model to the user device to cause the user device to generate a three-dimensional rendering of the item.

A display apparatus includes a display, a communicator configured to communicate with a server, and a processor. The processor is configured to control the communicator to transmit graphic data to be displayed on the display to the server, control the communicator to receive from the server video data into which the graphic data is converted, and process and display the received video data on the display.

According to one embodiment, a method, computer system, and computer program product for digital image enhancement is provided. The embodiment may include receiving a digital image being navigated by a user. The embodiment may include identifying an image content navigation pattern of the user and a context of the digital image. Based on the image content navigation pattern and context, the embodiment may include identifying one or more objects of the digital image on which the user will perform a predicted zoom-in action. The embodiment may include identifying one or more distributed computing resources for digital image enhancement of the identified one or more objects. The embodiment may include performing digital image enhancement of the identified one or more objects. Upon the user performing a zoom-in action on an identified object which matches a predicted zoom-in action, the embodiment may include displaying a digitally enhanced image of the identified object.

A method and apparatus for microscopic imaging is provided. The method includes: illuminating the sample with illumination radiation to stimulate the detection radiation; capturing the detection radiation from the sample; with the intensity data of the detection radiation from the sample; applying the calibration algorithm to the captured image(s) to acquire the processed second image; the resolution of the processed second image is higher than the acquired first image.

The present invention discloses a method and system for directed transfer of cross-domain data based on high-resolution remote sensing images. In the method of the present invention, first, an objective loss function which combines an image translation loss and a model adaptive loss of an image translation network model is established, thus overcoming the technical shortcoming that an existing data translation technique fails to take a specific task into full consideration and ignores a negative impact of data translation on the specific task. Further, a trained image translation network model is fine-tuned based on sample data, so that the image translation network model keeps translation towards the effect desired by the target model, thus avoiding over-interpretation or over-simplification during directed transfer of cross-domain data and improving accuracy of directed transfer of the cross-domain data based on the high-resolution remote sensing images.

Systems, methods, devices, and non-transitory media of the various embodiments may include for traversing hierarchical level of detail (HLOD) content for rendering on a display of a client computing device. Various embodiments employ structured HLOD data structures for HLOD content, using the uniform dimensional aspects of the structured trees to generate object space representation of the HLOD content and a sampling construct for the HLOD content. The same sampling construct may be applied to an object space representation of the HLOD content for any level of the structured tree. In various embodiments, sampling using the sampling construct for an object space representation of the HLOD content may be based on a camera position relative to the object space representation of the HLOD content. Various embodiments include transforming camera frustrum planes to object space representation of the HLOD content and testing visibility of the HLOD content from the object space representation.

In one embodiment, a method includes receiving a first frame associated with a first time and one or more second frames of a video having a resolution lower than a target resolution, wherein each second frame is associated with a second time prior to the first time, generating a first feature map for the first frame and one or more second feature maps for the one or more second frames, up-sampling the first feature map and the one or more second feature maps to the target resolution, warping each of the up-sampled second feature maps according to a motion estimation between the associated second time and the first time, and generating a reconstructed frame having the target resolution corresponding to the first frame by using a machine-learning model to process the up-sampled first feature map and the one or more up-sampled and warped second feature maps.