Abstract: A layout generator generates a layout for communications media content based on an identified domain (e.g., topic). A communications media content analyzer identifies a domain associated with communications media content. A domain-based layout guide selector receives the identified domain from the communications media content analyzer and selects a domain-based layout guide based on the identified domain. The domain-based layout guide is selected from a set of domain-based layout guides stored in memory accessible by the one or more processors. The set of domain-based layout guides is associated with multiple domains. A communications media content layout generator receives the selected domain-based layout guide from the domain-based layout guide selector and generates a communications media content layout incorporating at least a subset of the communications media content. The communications media content layout complies with the selected domain-based layout guide.

Abstract: A method of acquiring a set of images useable to 3D model a physical object includes imaging the physical object with a camera, and displaying with the camera a current view of the physical object as imaged by the camera from a current perspective. The method further includes displaying with the camera a visual cue overlaying the current view and indicating perspectives from which the physical object is to be imaged to acquire the set of images.

Abstract: Techniques and constructs to facilitate automatic tagging can provide improvements in image storage and searching. The constructs may enable training a deep network using tagged source images and target images. The constructs may also train a top layer of the deep network using a personal photo ontology. The constructs also may select one or more concepts from the ontology for tagging personal digital images.

Abstract: The description relates to click-through-based cross-view learning for internet searches. One implementation includes determining distances among textual queries and/or visual images in a click-through-based structured latent subspace. Given new content, results can be sorted based on the distances in the click-through-based structured latent subspace.

Abstract: Technologies pertaining to provision of customized audio to each listener in a plurality of listeners are described herein. A sensor outputs data that is indicative of locations of multiple listeners in an environment. The data is processed to determine locations and orientations of the respective heads of the multiple listener in the environment. Based on the locations and orientations of heads of the listeners in the environment, for each listener, respective customized audio signals are generated. The customized audio signals are transmitted to respective beamforming transducers. The beamforming transducers directionally output customized beams for the first listener and the second listener based upon the customized audio signals and locations of the heads of the listeners.

Abstract: Technologies pertaining to calibration of filters of an audio system are described herein. A mobile computing device is configured to compute values for respective filters, such as equalizer filters, and transmit the values to a receiver device in the audio system. The receiver device causes audio to be emitted from a speaker based upon the values for the filters.

Abstract: A privacy preserving sensor apparatus is described herein. The privacy preserving sensor apparatus includes a microphone that is configured to output a signal that is indicative of audio in an environment. The privacy preserving sensor apparatus further includes feature extraction circuitry integrated in the apparatus with the microphone, the feature extraction circuitry configured to extract features from the signal output by the microphone that are usable to detect occurrence of an event in the environment, wherein the signal output by the microphone is unable to be reconstructed based solely upon the features.

Abstract: A structural or aesthetic construction element, such as a wall section, is described herein, wherein the construction element has embedded therein an array of microphones, an array of speakers, and processing electronics that drives the array of microphones and the array of speakers. Audio captured by the microphones can be used to estimate a sound field corresponding to the construction element. Speakers in the array of speakers are configured to directionally output audio, such that a desired sound field is produced or reproduced.

Abstract: Technologies pertaining to improving an auditory experience of a listener are described. Audio is modified based upon noise generated by noise sources in an environment. A microphone generates a signal that is representative of noise in the environment, and the signal is processed to identify peak frequencies therein. When a key frequency of the audio is proximate to a peak frequency in the noise, the audio is modified to improve the listener's perception of the audio.

Abstract: A method of acquiring a set of images useable to 3D model a physical object includes imaging the physical object with a camera, and displaying with the camera a current view of the physical object as imaged by the camera from a current perspective. The method further includes displaying with the camera a visual cue overlaying the current view and indicating perspectives from which the physical object is to be imaged to acquire the set of images.

Abstract: Estimation of available bandwidth on a network uses packet pairs and spatially filtering. Packet pairs are transmitted over the network. The dispersion of the packet pairs is used to generate samples of the available bandwidth, which are then classified into bins to generate a histogram. The bins can have uniform bin widths, and the histogram data can be aged so that older samples are given less weight in the estimation. The histogram data is then spatially filtered. Kernel density algorithms can be used to spatially filter the histogram data. The network available bandwidth is estimated using the spatially filtered histogram data. Alternatively, the spatially filtered histogram data can be temporally filtered before the available bandwidth is estimated.

Abstract: Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.

Abstract: Computer-readable media, computer systems, and computing devices for initiating a search function, such as presentation of a search box or initiation of a search, is provided. In one embodiment, the method includes detecting movement of a selector from within a display area to an edge of the display area. Such a selector can be controlled by an input device coupled to a user device. In response to detecting movement of the selector from within the display area to the edge of the display area, a search-query input area associated with a search engine is presented within a display screen view.

Abstract: Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.

Abstract: Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.

Abstract: Discussion evaluation may be provided. First, an assignment page including an evaluation link may be displayed and a user initiated input corresponding to the evaluation link may be received. Next, an evaluation view may be displayed in response to the received user initiated input. The displayed evaluation view may comprise an evaluation assistant data section and a raw discussion data section. Evaluation data may then be received in response to the displayed evaluation view.

Abstract: Estimation of available bandwidth on a network uses packet pairs and spatially filtering. Packet pairs are transmitted over the network. The dispersion of the packet pairs is used to generate samples of the available bandwidth, which are then classified into bins to generate a histogram. The bins can have uniform bin widths, and the histogram data can be aged so that older samples are given less weight in the estimation. The histogram data is then spatially filtered. Kernel density algorithms can be used to spatially filter the histogram data. The network available bandwidth is estimated using the spatially filtered histogram data. Alternatively, the spatially filtered histogram data can be temporally filtered before the available bandwidth is estimated.

Abstract: Kernelized spatial-contextual image classification is disclosed. One embodiment comprises generating a first spatial-contextual model to represent a first image, the first spatial-contextual model having a plurality of interconnected nodes arranged in a first pattern of connections with each node connected to at least one other node, generating a second spatial-contextual model to represent a second image using the first pattern of connections, and estimating the distance between corresponding nodes in the first spatial-contextual model and the second spatial-contextual model based on a relationship with adjacent connected nodes to determine a distance between the first image and the second image.

Abstract: A system and method for teleconferencing and recording of meetings. The system uses a variety of capture devices (a novel 360° camera, a whiteboard camera, a presenter view camera, a remote view camera, and a microphone array) to provide a rich experience for people who want to participate in a meeting from a distance. The system is also combined with speaker clustering, spatial indexing, and time compression to provide a rich experience for people who miss a meeting and want to watch it afterward.

Abstract: Multi-label active learning may entail training a classifier with a set of training samples having multiple labels per sample. In an example embodiment, a method includes accepting a set of training samples, with the set of training samples having multiple respective samples that are each respectively associated with multiple labels. The set of training samples is analyzed to select a sample-label pair responsive to at least one error parameter. The selected sample-label pair is then submitted to an oracle for labeling.