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.
Abstract:
A combined digital and mechanical tracking system and process for generating a video using a single digital video camera that tracks a person or object of interest moving in a scene is presented. This generally involves operating the camera at a higher resolution than is needed for the application, and cropping a sub-region out of the image captured that is output as the output video. The person or object being tracked is at least partially contained within the cropped sub-region. As the person or object moves within the field of view of the camera, the location of the cropped sub-region is also moved so as to keep the subject of interest within its boundaries. When the subject of interest moves to the boundary of the FOV of the camera, the camera is mechanically panned to keep the person or object inside its FOV.
Abstract:
Disclosed are a unique DPC (detect point click) based game system and method. The DPC based game system involves generating one or a plurality of DPC images, presenting them to a game participant, and collecting the participant's clicks (that identify which object in the DPC image the participant believes to be the correct DPC object), and determining whether the participant's clicks represent the correct object. DPC images can be created in part by selecting a base image, altering some portion of the base image to create at least one confusion image, mapping these images to a geometric model, and applying one or more distortion filters to at least one of the base or confusing image to obscure the DPC object from clear view. Locating the DPC object nearly hidden in the DPC image can advance the participant in the DPC based game or other game including DPC images as a part thereof.
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:
An improved image retrieval process based on relevance feedback uses a hierarchical (per-feature) approach in comparing images. Multiple query vectors are generated for an initial image by extracting multiple low-level features from the initial image. When determining how closely a particular image in an image collection matches the initial image, a distance is calculated between the query vectors and corresponding low-level feature vectors extracted from the particular image. Once these individual distances are calculated, they are combined to generate an overall distance that represents how closely the two images match. According to other aspects, relevancy feedback received regarding previously retrieved images is used during the query vector generation and the distance determination to influence which images are subsequently retrieved.
Abstract:
An automated system and method for broadcasting meetings over a computer network. The meeting is filmed using an omni-directional camera system and capable of being presented to a viewer both live and on-demand. The system of the present invention includes an automated camera management system for controlling the camera system and an analysis module determining the location of meeting participants in the meeting environments. The method of the present invention includes using the system of the present invention to broadcast an event to a viewer over a computer network. In particular, the method includes filming the event using an omni-directional camera system. Next, the method determines the location of each event participant in the event environment. Finally, a viewer is provided with a user interface for viewing the broadcast event. This user interface allows a viewer to choose which event participant that the viewer would like to view.
Abstract:
Correlative multi-label image annotation may entail annotating an image by indicating respective labels for respective concepts. In an example embodiment, a classifier is to annotate an image by implementing a labeling function that maps an input feature space and a label space to a combination feature vector. The combination feature vector models both features of individual ones of the concepts and correlations among the concepts.
Abstract:
A system and process for providing a network and computer-based integrated development environment is presented that provides collaboration and information sharing for development project team members. Generally, this is accomplished by integrating a presence and activity awareness information module, a collaboration tools module, and a user interface into a single environment that is accessible over a distributed network and serves as a virtual development complex. The information module continuously collects, monitors and analyzes information about the presence of each team member and their activity in the project. The tools module provides a wide range of facilities for synchronous and asynchronous collaboration and information sharing between team members. Thus, all team members who use the virtual complex for their development work on the project can collaborate and interactively share required information regardless of their geographic and/or temporal disparity, and without having to leave the virtual development complex.
Abstract:
Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.
Abstract:
A decentralized computer network architecture and method that gathers metadata from local and remote clients and, based on that metadata, locally makes a decision whether to send a packet over the network. Each client listens to what other clients are doing, and only sends when the total number of concurrent speakers is below some threshold. In a multi-party voice conferencing embodiment, the threshold is a number of concurrent speakers that is restricted to less than a certain number. Under the decentralized computer network architecture, the type of network topology used to connect the clients is flexible, as long as each client is running a peer-aware system to decide locally whether to send their packets. The decentralized computer network architecture and method is distributed to run on each client, making it suitable for a wide variety of network topologies (such as full-mesh, bridge-based, or a hybrid of the two).