Abstract: Photometric stabilization for time-compressed video is described. Initially, video content captured by a video capturing device is time-compressed by selecting a subset of frames from the video content according to a frame sampling technique. Photometric characteristics are then stabilized across the frames of the time-compressed video. This involves determining correspondences of pixels in adjacent frames of the time-compressed video. Photometric transformations are then determined that describe how photometric characteristics (e.g., one or both of luminance and chrominance) change between the adjacent frames, given movement of objects through the captured scene. Based on the determined photometric transformations, filters are computed for smoothing photometric characteristic changes across the time-compressed video. Photometrically stabilized time-compressed video is generated from the time-compressed video by using the filters to smooth the photometric characteristic changes.

Abstract: Residual vectors are compressed in a lossless compression scheme suitable for cloud DVR video content applications. Thus, a cloud DVR service provider can take many copies of the same file stored in the cloud and save storage space by compressing those copies while still maintaining their status as distinct copies, one per user. Vector quantization is used for compressing already-compressed video streams (e.g., MPEG streams). As vector quantization is a lossy compression scheme, the residual vector has to be stored to regenerate the original video stream at the decoding (playback) node. Entropy coding schemes like Arithmetic or Huffman coding can be used to compress the residual vectors. Additional strategies can be implemented to further optimize this residual compression. In some embodiments, the techniques operate to provide a 25-50% improvement in compression. Storage space is thus more efficiently used and video transmission may be faster in some cases.

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: Systems and methods for restoring the appearances of scans of damaged physical documents. Ink bleed is removed and/or ink added to portions of a scanned image based on determining an ink bleed model by analyzing colors of pixels in the scanned image. Gaps in strokes are reconstructed based on analyzing pixel color at multiple angles around individual pixels in the scanned image to determine whether the individual pixels are part of a stroke. The appearance of the scanned image is also enhanced by comparing pixels that are not already close to a background color or ink color with other nearby pixels and, based on the nearby pixels, adjusting colors of the pixels that are not already close to the background color or ink color. These techniques are used individually or in combination to improve the appearance of the scanned image.

Abstract: Detecting an application state using a DNS-controlled proxy is described. In one or more embodiments, a proxy on a computer establishes a first secure connection with a browser and the proxy establishes a second secure connection with a web server. The proxy forwards a request for a test asset from the browser to the web server. In response to the request, the web server responds with the test asset, which is sent via the proxy to the browser. The browser attempts to load the test asset to determine if a desktop application is installed and running on the computer.

Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

Abstract: Embodiments may be configured to receive a protected version of content that includes multiple encrypted content samples. In various embodiments, each encrypted content sample includes multiple encrypted blocks. For a given encrypted content sample, different sets of encrypted blocks in that sample may form different encryption chains. The protected version of the content may further include decryption information for decrypting the encrypted content samples. The decryption information may include at least some initialization vectors generated dependent upon non-content information that is not included in the protected version of the content. The non-content information may be from a different protected version of the content. Embodiments may be configured to use the decryption information to decrypt one or more of the encrypted content samples.

Abstract: Example embodiments herein include a process executing in a browser that obtains a video editor application over a network. After obtaining the video editor application, a configuration process associated with the video editor application obtains a configuration file over the network. The configuration file identifies operable characteristics of the video editor application to be enabled for use by a corresponding user viewing the browser. The configuration process associated with the video editor application running on the browser executes the instance of the video editor application in accordance with the configuration file obtained over the network. Creation, maintenance, and distribution of different configuration files for different contexts enables the same video editor application running on corresponding remote browsers to be selectively configured in one of many different ways.

Abstract: Techniques are disclosed for navigation in a hierarchical node structure. A first graphical element representing a parent node in a hierarchical node structure is displayed via a graphical user interface (GUI). One or more second graphical elements, each representing a first child node of the parent node, are further displayed via the GUI on a first imaginary curve adjacent to or at least partially surrounding the parent node. In response to a user selection of one of the first child nodes, one or more third graphical elements each representing a second child node of the first child node are displayed via the GUI on a second imaginary curve adjacent to or at least partially surrounding the selected child node.

Abstract: Systems and methods provide for on the fly creation of curvy, digital brush strokes using incremental, local optimization. Samples from a user's input stroke are detected and matched with exemplar brush stroke segments as the user proceeds to provide input. For each set of samples, a temporary segment is generated and displayed for the user, and the temporary segment is later replaced by a permanent segment as subsequent samples sets are matched. Additionally, this optimization allows for updated parameterization in corner regions to provide a more realistic curve in the digital brush stroke. Specifically, intersecting ribs in the corners may be collapsed to prevent the rendering of artifacts. Additionally, and corner structures may be inserted in a break in a corner structure. These corner structures may be extensions of samples around the break and may correct distortion that results from the rib collapsing.

Abstract: Systems and methods are provided for identifying stable attributes in clusters of devices and naming the clusters of devices using the stable attributes. The stable attribute is selected from data associated with user/household behavior and data associated with each device. Because the stable attribute is associated with the device in the cluster determined to be the most stable, it is a persistent identifier that can be used to identify the user/household over time. Because the stable attribute is determined each time the clusters are determined, resources that would be required to track the user/household over time are saved and the system of tracking users/households is more efficient. Attributes evaluated to determine the stable attribute include IP address, the location of the device, hardware characteristics of the device, the date a CRM profile was created, timestamp of the first or last user authentication, and the number of authentications on that device.

Abstract: A machine may render a view that includes a portion of an infinite plane within a three-dimensional (3D) space. The machine may determine a polygon within a frustum in the 3D space. The polygon may be determined by calculating an intersection of the frustum with the infinite plane. The polygon may represent that portion of the infinite plane which lies within the boundaries of the frustum. The machine may then determine a color of an element of this polygon according to one or more algorithms, default values, or other programming for depicting the infinite plane within the 3D space. The color of this element of the polygon may be that applied by the machine to a further element that is located on the far plane of the frustum, and this further element may be located at a height above the polygon within the 3D space.

Abstract: A system and method for extending bounds of straightened and enlarged images is described. A user interface of an image editing application exposes an image to a user for editing. The user positions the image in the user interface and the image editing application generates a frame in the user interface to identify boundaries of a final image in the user interface. The image editing application then automatically determines an empty area within the frame, applies a fill operation to the empty area within the frame, and updates the image in the user interface to reflect results of the fill operation.

Abstract: The environment within which IoT devices are operating is determining based on sets of fingerprints collected from the IoT devices. The set of fingerprints for each respective IoT device contains at least one fingerprint corresponding to a sensed IoT device in communication with the respective IoT device. A similarity score is generated for pairs of IoT devices by comparing their respective sets of fingerprints to identify matching fingerprints. The IoT devices are grouped into a common environment based on the similarity scores. In some embodiments, content is provided over one or more communications networks to a user associated with an IoT device based on the IoT device being grouped into the common environment with one or more other IoT devices.

Abstract: Systems and methods disclosed herein use one or more auxiliary time series to more accurately identify change points in a target time series. This involves receiving data for the target time series and one or more auxiliary time series, where the one or more auxiliary time series have a relationship with the target time series. A combined auxiliary time series is generated based on the relationship between the target time series and the one or more auxiliary time series and the change point is detected for the target time series based on the target time series and the combined auxiliary time series. In one embodiment, time series data is received on an on-going basis. Recent time series data for the target time series and the one or more auxiliary time series is identified and used to detect the change point. The change point can be detected without using time series data older than the recent time series data.

Abstract: Techniques and systems are described for contextually filtering font styles. Techniques include identifying font features as filtering parameters to be applied to filter available font styles. The font features are identified automatically in a selected text and/or via user input. Additionally or alternatively, techniques include identifying font attributes as filtering parameters to be applied to filter available font styles. The font attributes are identified automatically in a selected text and/or via user input. After filtering, candidate font styles are presented to a user for selection.

Abstract: Techniques for creating and managing chattels to control design asset behaviors are described. A behavior is assigned by a digital content creation system to design asset data. The behavior can indicate how the design asset data will respond in different conditions. Then, access level data is generated that identifies different user types and how the behavior of the design asset data is modifiable by the different user types. The digital content creation system subsequently generates chattel data that includes the behavior, the access level data, and a visual form of the design asset data and outputs the chattel data. The chattel data may be output to a centralized storage location, such as a cloud storage location, that allows other users to access the chattel data. The centralized storage location provides centralized control, allowing updates to the chattel to occur at each location where the chattel appears.

Abstract: Various embodiments enable curves to be drawn around 3-D objects by intelligently determining or inferring how the curve flows in the space around the outside of the 3-D object. The various embodiments enable such curves to be drawn without having to constantly rotate the 3-D object. In at least some embodiments, curve flow is inferred by employing a vertex position discovery process, a path discovery process, and a final curve construction process.

Abstract: Font replacement based on visual similarity is described. In one or more embodiments, a font descriptor includes multiple font features derived from a visual appearance of a font by a font visual similarity model. The font visual similarity model can be trained using a machine learning system that recognizes similarity between visual appearances of two different fonts. A source computing device embeds a font descriptor in a document, which is transmitted to a destination computing device. The destination compares the embedded font descriptor to font descriptors corresponding to local fonts. Based on distances between the embedded and the local font descriptors, at least one matching font descriptor is determined. The local font corresponding to the matching font descriptor is deemed similar to the original font. The destination computing device controls presentations of the document using the similar local font. Computation of font descriptors can be outsourced to a remote location.

Abstract: A digital medium environment is described to improve moving graphical user interface objects using predictive drop zones that are generated based on user input operations. In one example, a user input processing system receives user input, such as selection and movement of a graphical object. The user input processing system monitors the user input to determine velocity, acceleration, location, and direction of the graphical object as moved by the user input. From the monitoring, the user input processing system continuously determines a location for a predicted drop zone in the user interface that represents an ending point for the movement. The predicted drop zone is then rendered on the user interface in real-time until termination of the input, at which point the user input processing system moves the graphical object to the location of the predicted drop zone, rather than to a pointing device location.