Abstract:
A method and apparatus for providing an opportunistic crowd based service platform is disclosed. A mobile sensor device is identified based on a current location and/or other qualities, such as intrinsic properties, previous sensor data, or demographic data of an associated user of the mobile sensor device. Data is collected from the mobile sensor device. The data collected from the mobile sensor device is aggregated with data collected from other sensor devices, and content generated based on the aggregated data is delivered to a user device.
Abstract:
A method includes receiving, at a neural network, a subset of images of a plurality of images of a training image set. The method includes training the neural network by iteratively adjusting parameters of the neural network based on concurrent application of multiple loss functions to the subset of images. The multiple loss functions include a classification loss function and a hashing loss function. The classification loss function is associated with an image classification function that extracts image features from an image. The hashing loss function is associated with a hashing function that generates a hash code for the image.
Abstract:
A method, apparatus, and computer readable medium for identifying a person in an image includes an image analyzer. The image analyzer determines the content of an image such as a person, location, and object shown in the image. A person in the image may be identified based on the content and event data stored in a database. Event data includes information concerning events and related people, locations, and objects determined from other images and information. Identification metadata is generated and linked to each analyzed image and comprises information determined during image analysis. Tags for images are generated based on identification metadata. The event database can be queried to identify particular people, locations, objects, and events depending on a user's request.
Abstract:
Methods, non-transitory computer readable media and apparatuses for decrypting an image are disclosed. For example, a method captures a portion of an encrypted image and decrypts the portion of the image using a decryption key. The portion of the image contains partial information for an adjacent portion of the image. The method then displays the portion of the image that is decrypted and also displays the adjacent portion of the image using the partial information for the adjacent portion of the image. Another method includes capturing a first portion of an image that is encrypted using a first key and a second key, decrypting the first portion of the image using a first key and displaying the first portion of the image that is decrypted.
Abstract:
Aa brokering device manages multimedia information including an interface device having access to a network and a multimedia service provider. The interface device enables selection of multimedia information from the network and provides the selected multimedia information to a plurality of locations without requiring the user to specify a protocol associated with the multimedia information.
Abstract:
A method, apparatus, and computer readable medium for identifying a person in an image includes an image analyzer. The image analyzer determines the content of an image such as a person, location, and object shown in the image. A person in the image may be identified based on the content and event data stored in a database. Event data includes information concerning events and related people, locations, and objects determined from other images and information. Identification metadata is generated and linked to each analyzed image and comprises information determined during image analysis. Tags for images are generated based on identification metadata. The event database can be queried to identify particular people, locations, objects, and events depending on a user's request.
Abstract:
An interactive conference based is supplemented based on terminology content. Terminology content from a plurality of interactive conference participants is monitored. A set of words from the terminology content is selected. Supplemental media content at an external source is identified based on the selected set of words, and selectively made available and presented to an audience member for the interactive conference.
Abstract:
A computer implemented method is disclosed, the method including but not limited to detecting an event of interest in video conference data for a plurality of video conference participants and notifying an end user of the event of interest. A computer readable medium is also disclosed for containing a computer program for performing the method. A computer implemented method is also disclosed for receiving at an end user device, a notification of an event of interest in a video teleconference, the method including but not limited to receiving at an end user device from a notification indicating a detection of the event of interest in video conference data from the video teleconference for a plurality of video conference participants; and sending data from the end user device to the server requesting a transcription of comments from the speaker in video teleconference.
Abstract:
Disclosed herein are systems, methods, and computer-readable media for transmedia video bookmarks, the method comprising receiving a first place marker and a second place marker for a segment of video media, extracting metadata from the video media between the first and second place markers, normalizing the extracted metadata, storing the normalized metadata, first place marker, and second place marker as a video bookmark, and retrieving the media represented by the video bookmark upon request from a user. Systems can aggregate video bookmarks from multiple sources and refine the first place marker and second place marker based on the aggregated video bookmarks. Metadata can be extracted by analyzing text or audio annotations. Metadata can be normalized by generating a video thumbnail representing the video media between the first place marker and the second place marker. Multiple video bookmarks may be searchable by metadata or by the video thumbnail visually.
Abstract:
A method is provided for sharing a display. The method includes displaying periodically a first image sequence on the display in synchronicity with a first signal, and displaying periodically a second image sequence on the display in synchronicity with a second signal. The method also includes selecting by a user the first image sequence for viewing, and shuttering periodically a set of goggles for the user in synchronicity with the first signal. A method is provided for sharing a display. The method includes displaying periodically a private image sequence on the display in synchronicity with a first signal, and displaying periodically a non-private image sequence on the display. In the method, the private image sequence and the non-private image sequence combine to form a public image sequence on the display. A system is provided for sharing a display.