Abstract: Systems, methods, and computer applications and media for gathering, categorizing, sorting, managing, reviewing and organizing large quantities of multimedia items across space and time and using crowd-sourcing resources are described. Various implementations may enable either public or private (e.g., internal to an organization) crowdsourcing of multimedia item gathering and analysis, including the gathering, analysis, lead-searching, and classification of digital still images and digital videos. Various implementations may allow a user, such as a law enforcement investigator, to consolidate all of the available multimedia items into one system, and quickly gather, sort, organize, and display the multimedia items based on location, time, content, or other parameters. Moreover, an investigator may be able to create crowd source tasks as he works with the multimedia items and utilize crowd source resources when he needs help.

Abstract: A method is provided for augmenting video feed obtained by a camera of a aerial vehicle to a user interface. The method can include obtaining a sequence of video images with or without corresponding sensor metadata from the aerial vehicle; obtaining supplemental data based on the sequence of video images and the sensor metadata; correcting an error in the sensor metadata using a reconstruction error minimization technique; creating a geographically-referenced scene model based on a virtual sensor coordinate system that is registered to the sequence of video images; overlaying the supplemental information onto the geographically-referenced scene model by rendering geo-registered data from a 3D perspective that matches a corrected camera model; creating a video stream of a virtual representation from the scene from the perspective of the camera based on the overlaying; and providing the video stream to a UI to be render onto a display.

Abstract: A system and method for video surveillance and searching are disclosed. Video is analyzed and events are automatically detected. Based on the automatically detected events, textual descriptions are generated. The textual descriptions may be used to supplement video viewing and event viewing, and to provide for textual searching for events.

Abstract: A system and method for video surveillance and searching are disclosed. Video is analyzed and events are automatically detected. Based on the automatically detected events, textual descriptions are generated. The textual descriptions may be used to supplement video viewing and event viewing, and to provide for textual searching for events.

Abstract: A method is provided for augmenting video feed obtained by a camera of a aerial vehicle to a user interface. The method can include obtaining a sequence of video images with or without corresponding sensor metadata from the aerial vehicle; obtaining supplemental data based on the sequence of video images and the sensor metadata; correcting an error in the sensor metadata using a reconstruction error minimization technique; creating a geographically-referenced scene model based on a virtual sensor coordinate system that is registered to the sequence of video images; overlaying the supplemental information onto the geographically-referenced scene model by rendering geo-registered data from a 3D perspective that matches a corrected camera model; creating a video stream of a virtual representation from the scene from the perspective of the camera based on the overlaying; and providing the video stream to a UI to be render onto a display.

Abstract: Methods and systems for facial recognition are provided. The method includes determining a three-dimensional (3D) model of a face of an individual based on different images of the individual. The method also includes extracting two-dimensional (2D) patches from the 3D model. Further, the method includes generating a plurality of signatures of the face using different combinations of the 2D patches, wherein the plurality of signatures correspond to respective views of the 3D model from different angles.

Abstract: Methods and systems for facial recognition are provided. The method includes determining a three-dimensional (3D) model of a face of an individual based on different images of the individual. The method also includes extracting two-dimensional (2D) patches from the 3D model. Further, the method includes generating a plurality of signatures of the face using different combinations of the 2D patches, wherein the plurality of signatures correspond to respective views of the 3D model from different angles.

Abstract: Generating three-dimensional information can include obtaining multiple different images of an object taken by camera(s), each image having a near-planar surface depiction of the object; registering the images in two-dimensions by identifying one or more features of each image and generating a two-dimensional representation of each feature; selecting first and second images from the registered images; generating one or more correspondences between one or more features of the first and second images; estimating a camera parameter set for each of the first and second images within respective ones of the identified features; reconstructing a three-dimensional structure of the object in Euclidean space responsive to the one or more correspondences and the estimated camera parameter sets; refining the estimated camera parameter sets using the three-dimensional structure; and refining the three-dimensional structure using the refined camera parameter sets.

Abstract: Systems, methods, and manufactures for a surveillance system are provided. The surveillance system includes sensors having at least one non-overlapping field of view. The surveillance system is operable to track a target in an environment using the sensors. The surveillance system is also operable to extract information from images of the target provided by the sensors. The surveillance system is further operable to determine probablistic confidences corresponding to the information extracted from images of the target. The confidences include at least one confidence corresponding to at least one primitive event. Additionally, the surveillance system is operable to determine grounded formulae by instantiating predefined rules using the confidences. Further, the surveillance system is operable to infer a complex event corresponding to the target using the grounded formulae. Moreover, the surveillance system is operable to provide an output describing the complex event.

Abstract: Methods and systems for facial recognition are provided. The method includes determining a three-dimensional (3D) model of a face of an individual based on different images of the individual. The method also includes extracting two-dimensional (2D) patches from the 3D model. Further, the method includes generating a plurality of signatures of the face using different combinations of the 2D patches, wherein the plurality of signatures correspond to respective views of the 3D model from different angles.

Abstract: Systems, methods, and computer applications and media for gathering, categorizing, sorting, managing, reviewing and organizing large quantities of multimedia items across space and time and using crowd-sourcing resources are described. Various implementations may enable either public or private (e.g., internal to an organization) crowdsourcing of multimedia item gathering and analysis, including the gathering, analysis, lead-searching, and classification of digital still images and digital videos. Various implementations may allow a user, such as a law enforcement investigator, to consolidate all of the available multimedia items into one system, and quickly gather, sort, organize, and display the multimedia items based on location, time, content, or other parameters. Moreover, an investigator may be able to create crowd source tasks as he works with the multimedia items and utilize crowd source resources when he needs help.

Abstract: Relational graphs may be used to extract information. Similarities between the relational graphs and the items they represent may be determined. For example, when applied to video searching, relational graphs may be obtained from searching videos to extract objects, events and/or relations therebetween. Each relational graph may comprise a plurality of nodes and edges, wherein at least some of the detected objects and events are represented by each node, and wherein each edge and represents a relationship between two nodes. Subgraphs may be extracted from each relational graph and dimension reduction may be performed on the subgraphs to obtain a reduced variable set which may then be used to perform searches, such as similarity analyses of videos.

Abstract: A system and method for video surveillance and searching are disclosed. Video is analyzed and events are automatically detected. Based on the automatically detected events, textual descriptions are generated. The textual descriptions may be used to supplement video viewing and event viewing, and to provide for textual searching for events.

Abstract: Generating three-dimensional information can include accessing multiple different images of an object taken by one or more cameras; selecting one of the accessed images as a reference image; identifying corresponding features between the reference image and one or more different ones of the accessed images; determining first camera pose information for each accessed image based on one or more of the corresponding features, each first camera pose information indicative of a relationship between an imaging device and the object; determining a first three-dimensional structure of the object based on first camera pose information of two of the accessed images; and generating a second three-dimensional structure and a second camera pose information for each accessed image based on the first three-dimensional structure and the first camera pose information for each accessed image.

Abstract: A call holding voice message transmitting apparatus and method in a mobile communication terminal are disclosed that transmit voice data, preferably stored in the terminal, to a caller in a situation in which the user of the terminal cannot receive an incoming call from the caller. The apparatus can include a key input unit to input a command to the terminal, a controller that generates a control signal adapted to execute the command, a microphone that converts a voice into an analog voice signal and a voice encoder that converts the analog voice signal into a digital voice signal. A memory can retrievably store the digital voice signal outputted from the voice encoder and a voice decoder converts the digital voice signal into an outgoing analog voice signal. A selection device outputs a selected one of the analog voice signal from the microphone and the outgoing analog voice signal from the voice decoder in response to the control signal from the control unit.

Abstract: A call holding voice message transmitting apparatus and method in a mobile communication terminal are disclosed that transmit voice data, preferably stored in the terminal, to a caller in a situation in which the user of the terminal cannot receive an incoming call from the caller. The apparatus can include a key input unit to input a command to the terminal, a controller that generates a control signal adapted to execute the command, a microphone that converts a voice into an analog voice signal and a voice encoder that converts the analog voice signal into a digital voice signal. A memory can retrievably store the digital voice signal outputted from the voice encoder and a voice decoder converts the digital voice signal into an outgoing analog voice signal. A selection device outputs a selected one of the analog voice signal from the microphone and the outgoing analog voice signal from the voice decoder in response to the control signal from the control unit.

Abstract: A call holding voice message transmitting apparatus and method in a mobile communication terminal are disclosed that transmit voice data, preferably stored in the terminal, to a caller in a situation in which the user of the terminal cannot receive an incoming call from the caller. The apparatus can include a key input unit to input a command to the terminal, a controller that generates a control signal adapted to execute the command, a microphone that converts a voice into an analog voice signal and a voice encoder that converts the analog voice signal into a digital voice signal. A memory can retrievably store the digital voice signal outputted from the voice encoder and a voice decoder converts the digital voice signal into an outgoing analog voice signal. A selection device outputs a selected one of the analog voice signal from the microphone and the outgoing analog voice signal from the voice decoder in response to the control signal from the control unit.