Abstract: Automated video correction techniques are disclosed. In some examples, an example method may include identifying features in each video frame of the multiple video frames in a video, and identifying one or more major scenes in the video based on a matching of the features in each video frame. The method may also include, for each identified major scene, identifying a key reference frame based on the features in each video frame, identifying one or more bad video frames based on a comparison with the key reference frame, and identifying one or more sequences of bad video frames based on the identified one or more bad video frames. The video may then be corrected by removing the identified one or more sequences of bad video frames from the video.

Abstract: The present disclosure is directed towards systems and methods for modifying a digital image. For example, systems and methods described herein involve identifying a target portion of a digital image to remove from the digital image. The systems and methods further involve identifying geometric features intersecting or surrounding the identified target portion. The systems and methods further involve analyzing and identifying a source portion having geometric properties that correspond to the identified geometric features intersecting the target portion. Further, the systems and methods involve removing the target portion and replacing the target portion with the source portion by aligning the geometric properties to blend together with the background surrounding the removed target portion. In this way, the output image includes a replacement portion in place of the removed target portion that blends together with the background of the output image.

Abstract: A digital medium environment includes at least one computing device. Systems and techniques are described herein for reassembling and repairing image sections (e.g., torn pieces of an image) by generating masks for the image sections that do not include content of the image sections, and matching image sections along contours (e.g., edges or sides of the image sections) based on shapes of the masks, features of content extracted from the image sections, or combinations thereof, depending on whether an ambiguity is determined. An ambiguity is determined when not all image sections included in the scans are matched by shape, or are redundantly matched. A composite image is reassembled from the image sections based on matching image sections. Furthermore, a composite image is repaired by adding material to the composite image from an additional image (e.g., an image other than the composite image and the image sections).

Abstract: Examples are directed to selective editing of digital images using editing tools having persistent tool settings. A source image is opened as a target image in an image editing application. Once opened in the image editing application, the target image includes a plurality of image layers. Visual elements of the target image file are then edited using tools in the image editing application. For each tool used, a tool identifier and the relevant tool settings are saved and associated with the corresponding layer in a target image file. Upon closing and later re-opening the target image file, the saved tool identifier and tool settings are presented for display for further image editing in subsequent user sessions.

Abstract: Various embodiments include automatically selecting and modifying objects within an image that are similar to an object previously selected by a user. A user first selects an object in a displayed image. Object feature descriptors are generated describing a shape formed by edges of the object, and image feature descriptors are generated describing shapes formed by edges automatically detected in the image. The object feature descriptors are compared with the image feature descriptors to automatically identify other objects in the image having edges similar to the selected object. The pixels of the user selected object and the automatically identified objects are modified according to a user specified function.

Abstract: Dynamic thumbnails are described. Dynamic thumbnails provide a convenient and automated approach for providing thumbnails that are contextually relevant to a user. In at least some implementations, an input image is analyzed to generate tags describing objects or points of interest within the image, and to generate rectangles that describe the locations within the image that correspond to the generated tags. Various combinations of generated tags are analyzed to determine the smallest bounding rectangle that contains every rectangle associated with the tags in the respective combination, and a thumbnail is created. A user input is received and compared to the tags associated with the generated thumbnails, and a thumbnail that is most relevant to the user input is selected and output to the user.

Abstract: Techniques for converting mechanical markings on hardcopy textual content into digital annotations in a digital document file. In accordance with some embodiments, the techniques include identifying at least one block of text in a digital (scanned) image of a hardcopy document, and identifying at least one mechanical marking in the digital image of the hardcopy document. The mechanical marking, such as an underline, strike-through, highlight or circle, covers or lies adjacent to the corresponding block of text. An annotated digital document file is generated from the digital image of the hardcopy document. The annotated digital document file includes computer-executable instructions representing the original text of the hardcopy document and at least one annotation corresponding to the mechanical marking in the hardcopy document.

Abstract: A wireless communication link can include an uplink and a downlink between a wireless access point and a computer device. The uplink supports communications from the computer device to the wireless access point. The downlink supports communications from the wireless access point to the computer device. The computer device executes a downlink monitor application to monitor events occurring on the downlink. The wireless access point or other suitable resource such as a remote management resource executes an uplink monitor application to monitor events occurring on the uplink. The uplink application and the downlink application log events using the same master clock. The remote management resource can be configured to analyze the uplink status information in view of the downlink status information to perform one or more functions such as troubleshooting, optimizing network settings, etc.

Abstract: A mobile computer device establishes a wireless communication link between the mobile computer device and a first access point of multiple access points in a network environment. While wirelessly connected to the first access point, the mobile computer device monitors communications from a set of neighboring access points including at least a second access point of the multiple access points. The mobile computer device transmits performance information derived from the monitored communications to a controller resource. To alleviate a current load on the first access point, the controller resource generates control information to terminate the wireless communication link between the mobile computer device and the first access point and establish a replacement wireless communication link between the mobile computer device and a second access point.

Abstract: Disclosed are various embodiments for automatically selecting and modifying objects within an image that are similar to an object previously selected by a user. A user first selects an object in a displayed image. Object feature descriptors are generated describing a shape formed by edges of the object, and image feature descriptors are generated describing shapes formed by edges automatically detected in the image. The object feature descriptors are compared with the image feature descriptors to automatically identify other objects in the image having edges similar to the selected object. The pixels of the user selected object and the automatically identified objects are modified according to a user specified function.

Abstract: A content aware pattern stamping tool that preserves the visual texture of an area within an image when filling the area with a pattern is provided. In one embodiment, the pattern stamping tool analyzes an area to be filled with a pattern to determine textural characteristics of the area. These textural characteristics may include reflectance and shading. Once the pattern stamping tool has determined the textural characteristics of the area, the pattern stamping tool fills the area with the pattern and applies the textural characteristics to the filled area. Through application of the textural characteristics, the pattern stamping tool generates an image that combines the pattern with the original textural characteristics of the area.

Abstract: A wireless communication link can include an uplink and a downlink between a wireless access point and a computer device. The uplink supports communications from the computer device to the wireless access point. The downlink supports communications from the wireless access point to the computer device. The computer device executes a downlink monitor application to monitor events occurring on the downlink. The wireless access point or other suitable resource such as a remote management resource executes an uplink monitor application to monitor events occurring on the uplink. The uplink application and the downlink application log events using the same master clock. The remote management resource can be configured to analyze the uplink status information in view of the downlink status information to perform one or more functions such as troubleshooting, optimizing network settings, etc.

Abstract: A user identifies an unwanted object in a source image. Related images are identified on the basis of timestamp and/or geolocation metadata. Matching masks are identified in the source image, wherein each of the matching masks is adjacent to the selection mask. Features in the selection and matching masks which also appear in one of the related images are identified. The related image having a maximum of features which are tracked to a source image matching mask, but also a minimum of features which are tracked to the source image selection mask, is identified as a best-match related image. By mapping the source image matching masks onto the best-match related image, a seed region can be located in the best-match related image. This seed region is used for filling in the source image. This allows the unwanted object to be replaced with a visually plausible background having a reasonable appearance.

Abstract: A wireless communication link can include an uplink and a downlink between a wireless access point and a computer device. The uplink supports communications from the computer device to the wireless access point. The downlink supports communications from the wireless access point to the computer device. The computer device executes a downlink monitor application to monitor events occurring on the downlink. The wireless access point or other suitable resource such as a remote management resource executes an uplink monitor application to monitor events occurring on the uplink. The uplink application and the downlink application log events using the same master clock. The remote management resource can be configured to analyze the uplink status information in view of the downlink status information to perform one or more functions such as troubleshooting, optimizing network settings, etc.

Abstract: Techniques for image resolution enhancement based on data from related images are described. In one or more implementations, a cropped image and each related image from a set of the related images are divided into blocks that each include a subset of pixels. In at least some implementations, the blocks in the related images have features that match features of respective counterpart blocks in the cropped image. Then, blocks in the related images that have a relatively higher resolution than the respective counterpart blocks in the cropped image are determined. Based on this determination, one or more of the counterpart blocks in the cropped image are replaced with respective blocks from the related images to enhance the image resolution of at least a portion of the cropped image.

Abstract: Image selection control techniques are described. In one or more implementations, a method is described to control image selection in a user interface of a computing device. An input is detected by the computing device involving interaction with a display of an image in a user interface. A pattern is identified by the computing device in a portion of the image that includes the detected input. One or more objects of the content are located by the computing device that include the identified pattern, at least one said object positioned outside the portion of the image used to perform the identifying. A selection of the image is created as having the located one or more objects by the computing device in the user interface.

Abstract: Examples are directed to selective editing of digital images using editing tools having persistent tool settings. A source image is opened as a target image in an image editing application. Once opened in the image editing application, the target image includes a plurality of image layers. Visual elements of the target image file are then edited using tools in the image editing application. For each tool used, a tool identifier and the relevant tool settings are saved and associated with the corresponding layer in a target image file. Upon closing and later re-opening the target image file, the saved tool identifier and tool settings are presented for display for further image editing in subsequent user sessions.

Abstract: The present disclosure is directed towards systems and methods for modifying a digital image. For example, systems and methods described herein involve identifying a target portion of a digital image to remove from the digital image. The systems and methods further involve identifying geometric features intersecting or surrounding the identified target portion. The systems and methods further involve analyzing and identifying a source portion having geometric properties that correspond to the identified geometric features intersecting the target portion. Further, the systems and methods involve removing the target portion and replacing the target portion with the source portion by aligning the geometric properties to blend together with the background surrounding the removed target portion. In this way, the output image includes a replacement portion in place of the removed target portion that blends together with the background of the output image.

Abstract: A user identifies an unwanted object in a source image. Related images are identified on the basis of timestamp and/or geolocation metadata. Matching masks are identified in the source image, wherein each of the matching masks is adjacent to the selection mask. Features in the selection and matching masks which also appear in one of the related images are identified. The related image having a maximum of features which are tracked to a source image matching mask, but also a minimum of features which are tracked to the source image selection mask, is identified as a best-match related image. By mapping the source image matching masks onto the best-match related image, a seed region can be located in the best-match related image. This seed region is used for filling in the source image. This allows the unwanted object to be replaced with a visually plausible background having a reasonable appearance.

Abstract: A first wireless access point notifies a handoff management resource that a second wireless access point is a potential handoff candidate. Subsequent to authentication of the second wireless access point as being a valid handoff candidate, the handoff management resource notifies a mobile communication device that the second wireless access point is a valid handoff option to receive a communication session from the first wireless access point. To perform a handoff, the mobile communication device initiates termination of a wireless communication link with the first wireless access point and communicates with the second wireless access point to establish a new wireless communication link. In furtherance of providing uninterrupted network access, the handoff management resource conveys communication settings information associated with the handed off communication session to the second wireless access point for use over the new wireless communication link.