Abstract: Systems and methods of conducting collaborative sessions between mobile devices may provide for determining a time delay associated with a set of participating mobile devices, and determining a command execution time based at least in part on a clock of a managing device and the time delay. One or more control messages may be transmitted to the participating mobile devices, wherein the control messages include the command and the command execution time. Upon receiving a control message, each participating mobile device may determine a local execution time based at least in part on the command execution time and an offset of the clock of the managing device relative to a local clock. Execution of the command can therefore be coordinated across the set of participating mobile devices.

Abstract: Systems and methods of synchronizing devices may include detecting a movement of a first mobile device and conducting a time synchronization procedure with respect to a second mobile device in response to the movement of the two mobile devices. The time synchronization can be conducted without network infrastructure support at the mobile devices.

Abstract: Methods and systems to for generating high accuracy estimates of the 3D orientation of a camera within a global frame of reference. Orientation estimates may be produced from an image-based alignment method. Other orientation estimates may be taken from a camera-mounted orientation sensor. The alignment-derived estimates may be input to a high pass filter. The orientation estimates from the orientation sensor may be processed and input to a low pass filter. The outputs of the high pass and low pass filters are fused, producing a stabilized video sequence.

Abstract: Embodiments of a system and method for mobile augmented reality are provided. In certain embodiments, a first image is acquired at a device. Information corresponding to at least one second image matched with the first image is obtained from a server. A displayed image on the device is augmented with the obtained information.

Abstract: A result higher resolution (HR) image of a scene given multiple, observed lower resolution (LR) images of the scene is computed using a Bayesian estimation image reconstruction methodology. The methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robust function. The image reconstruction methodology may be used to enhance the image quality of images or video captured using a low resolution image capture device. Other embodiments are also described and claimed.

Abstract: Methods and apparatuses receive receiving a plurality of images and metadata associated with each respective image, determining a viewpoint of one of the images of the plurality, the viewpoint to represent the location and orientation of the image capture device when the image was captured and creating a view including the plurality of images, wherein placement of the images based on each images respective metadata and the determined viewpoint.

Abstract: In some embodiments, a method of processing a video sequence may include receiving an input video sequence having an input video sequence resolution, aligning images from the input video sequence, reducing noise in the aligned images, and producing an output video sequence from the reduced noise images, wherein the output video sequence has the same resolution as the input video sequence resolution. Other embodiments are disclosed and claimed.

Abstract: A result higher resolution (HR) image of a scene given multiple, observed lower resolution (LR) images of the scene is computed using a Bayesian estimation image reconstruction methodology. The methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robust function. Other embodiments are also described and claimed.

Abstract: According to an embodiment of the invention, a method and apparatus for image segmentation are described. An embodiment of a method comprises inserting a state comprising a set of image segmentations into a queue, the queue being ordered by priority, the set of image segmentations having a priority representing a bound for a quality of the segmentations; extracting the state in the queue having the highest priority; if the extracted state is a terminal state, halting and outputting the extracted state as a solution; if the extracted state is not a terminal state refining the extracted state into a plurality of sets of segmentations, each of the plurality of sets having a priority, inserting the plurality of sets of segmentations into the queue, and iteratively repeating the extraction of the state in the queue having the highest priority.

Abstract: This invention describes methods and systems for tasking nodes in a distributed ad hoc network. A node is selected to participate in a data gathering or a routing task based on its potential contribution to information gain and the cost associated with performing the task such as communication bandwidth usage. This invention describes methods and systems for implementing various selection strategies at each node, using local knowledge about the network. For resource-limited sensor networks, the information-driven data gathering and routing strategies significantly improve the scalability and quality of sensing systems, while minimizing resource cost.

Abstract: This invention describes methods and systems for tasking nodes in a distributed ad hoc network. A node is selected to participate in a data gathering or a routing task based on its potential contribution to information gain and the cost associated with performing the task such as communication bandwidth usage. This invention describes methods and systems for implementing various selection strategies at each node, using local knowledge about the network. For resource-limited sensor networks, the information-driven data gathering and routing strategies significantly improve the scalability and quality of sensing systems, while minimizing resource cost.