This paper presents the first complete design to apply compressive sampling theory to sensor data gathering for large-scale wireless sensor networks. The successful scheme developed in this research is expected to offer fresh frame of mind for research in both compressive sampling applications and large-scale wireless sensor networks. We consider the scenario in which a large number of sensor nodes are densely deployed and sensor readings are spatially correlated. The proposed compressive data gathering is able to reduce global scale communication cost without introducing intensive computation or complicated transmission control. The load balancing characteristic is capable of extending the lifetime of the entire sensor network as well as individual sensors. Furthermore, the proposed scheme can cope with abnormal sensor readings gracefully. We also carry out the analysis of the network capacity of the proposed compressive data gathering and validate the analysis through ns-2 simulations. More importantly, this novel compressive data gathering has been tested on real sensor data and the results show the efficiency and robustness of the proposed scheme.

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Compressive data gathering for large-scale wireless sensor networks

A method and system for storage and retrieval of blockchains with Galois Fields. One or more blocks for a blockchain are securely stored and retrieved with a modified Galois Fields on a cloud or peer-to-peer (P2P) communications network. The modified Galois Field provides at least additional layers for security and privacy for blockchains. The blocks and blockchains are securely stored and retrieved for cryptocurrency transactions including, but not limited to, BITCOIN transactions and other cryptocurrency transactions.

Method and system for storage and retrieval of blockchain blocks using galois fields

Systems and methods for providing previews of files stored in an online content management system with collaboration environment and permitting a user to annotate the previews are disclosed. The system further tracks the frequency of access of content in previewed documents and provides a visual representation of the frequency with which sections in a document was viewed.

Extended applications of multimedia content previews in the cloud-based content management system

CND load balancing in the cloud. Server resources are allocated at an edge data center of a content delivery network to properties that are being serviced by edge data center. Based on near real-time data, properties are sorted by trending traffic at the edge data center. Server resources are allocated for at least one property of the sorted properties at the edge data center. The server resources are allocated based on rules developed from long-term trends. The resource allocation includes calculating server needs for the property in a partition at the edge data center, and allocating the server needs for the property to available servers in the partition.

Cdn load balancing in the cloud

A method and system for electronic content storage and retrieval with Galois Fields on cloud computing networks. The electronic content is divided into plural portions and stored in plural cloud storage objects. Storage locations for the plural cloud storage objects are selected using a Galois field and the plural cloud storage objects are distributed across the cloud network. When the electronic content is requested, the plural portions are retrieved and transparently combined back into the original electronic content. No server network devices or target network devices can individually determine locations of all portions of the electronic content on the cloud communications network, thereby providing layers of security and privacy for the electronic content on the cloud communications network.

Method and system for electronic content storage and retrieval with galois fields on cloud computing networks

A video summary method comprises dividing a video into a plurality of video shots, analyzing each frame in a video shot from the plurality of video shots, determining a saliency of each frame of the video shot, determining a key frame of the video shot based on the saliency of each frame of the video shot, extracting visual features from the key frame and performing shot clustering of the plurality of video shots to determine concept patterns based on the visual features. The method further comprises fusing different concept patterns using a saliency tuning method and generating a summary of the video based upon a global optimization method.

Method and system for video summarization

Methods and systems for transcoding in a cloud computing platform are disclosed. According to an embodiment, a receiver receives an uploading file by one data block at a time, and stores the received data blocks in various storage modules. Small segment files are then generated when the size of the received data blocks is larger than a threshold. A transcoder transcodes the small segment files from one format such as a bit rate or a frame size to another while the receiver is still receiving a new data block. The transcoded small segment files may be stitched together to form a stitched file, which may be stored in a storage module to be downloaded through a content distribution network (CDN). The transcoded small segment files may be passed to streaming servers for streaming over a network while the receiver is still receiving a new data block of the uploading file.

Cloud-Based Transcoding Platform Systems and Methods

An embodiment of a system and method for online media preview extracts a plurality of preview frames from a media file. The preview frames are saved in a layered data structure. In addition, the preview frames may be scaled to a lower resolution so that the preview file formed by the preview frames is reduced in size. After receiving a preview request, a delivery scheduling scheme delivers the preview frames at selected time points to minimize startup delay and playback jitter.

System and Method for Online Media Preview

A system and method for retargeting video sequences are provided. A method for retargeting a video includes a plurality of frames includes determining saliency information for the plurality of frames, determining a cost metric for the video, and retargeting the video based on the cost metric to produce a retargeted video. The cost metric considers loss due to cropping, scaling, temporal factors, and spatial factors. The retargeting makes use of a crop window for each frame in the plurality of frames.

System and method for retargeting video sequences

An embodiment of a system and method that inserts a virtual image into a sequence of video frames The method includes capturing geometric characteristics of the sequence of video frames, employing the captured geometric characteristics to define an area of the video frames for insertion of a virtual image, registering a video camera to the captured geometric characteristics, identifying features in the sequence of video frames to identify the defined area of video frames for insertion of the virtual image, and inserting the virtual image in the defined area Vanishing points are estimated to determine the geometric characteristics, and the virtual image is blended with the area of video frames prior to inserting the virtual image in the defined area

Hong Heather Yu

Papers

Method and system for video summarization

Cloud-Based Transcoding Platform Systems and Methods

System and Method for Online Media Preview

System and method for retargeting video sequences

Method and Apparatus for Video Insertion