@article {12524,
	title = {Moving Object Verification in Airborne Video Sequences},
	journal = {Circuits and Systems for Video Technology, IEEE Transactions on},
	volume = {19},
	year = {2009},
	month = {2009/01//},
	pages = {77 - 89},
	abstract = {This paper presents an end-to-end system for moving object verification in airborne video sequences. Using a sample selection module, the system first selects frames from a short sequence and stores them in an exemplar database. To handle appearance change due to potentially large aspect angle variations, a homography-based view synthesis method is then used to generate a novel view of each image in the exemplar database at the same pose as the testing object in each frame of a testing video segment. A rotationally invariant color matcher and a spatial-feature matcher based on distance transforms are combined using a weighted average rule to compare the novel view and the testing object. After looping over all testing frames, the set of match scores is passed to a temporal analysis module to examine the behavior of the testing object, and calculate a final likelihood. Very good verification performance is achieved over thousands of trials for both color and infrared video sequences using the proposed system.},
	keywords = {airborne, database;homography-based, databases;, matcher;color, matcher;image, matching;image, method;infrared, object, sequences;color, sequences;distance, sequences;moving, sequences;video, synthesis, system;exemplar, transforms;end-to-end, verification;spatial-feature, video, view},
	isbn = {1051-8215},
	doi = {10.1109/TCSVT.2008.2009243},
	author = {Yue,Zhanfeng and Guarino, D. and Chellapa, Rama}
}
@article {18236,
	title = {Joint Uplink and Downlink Optimization for Real-Time Multiuser Video Streaming Over WLANs},
	journal = {Selected Topics in Signal Processing, IEEE Journal of},
	volume = {1},
	year = {2007},
	month = {2007/08//},
	pages = {280 - 294},
	abstract = {In this paper, a network-aware and source-aware video streaming system is proposed to support interactive multiuser communications within single-cell and multicell IEEE 802.11 networks. Unlike the traditional streaming video services, the strict delay constraints of an interactive video streaming system pose more challenges. These challenges include the heterogeneity of uplink and downlink channel conditions experienced by different users, the multiuser resource allocation of limited radio resources, the incorporation of the cross-layer design, and the diversity of content complexities exhibited by different video sequences. With the awareness of video content and network resources, the proposed system integrates cross-layer error protection mechanism and performs dynamic resource allocation across multiple users. We formulate the proposed system as to minimize the maximal end-to-end expected distortion received by all users, subject to maximal transmission power and delay constraints. To reduce the high dimensionality of the search space, fast multiuser algorithms are proposed to find the near-optimal solutions. Compared to the strategy without dynamically and jointly allocating bandwidth resource for uplinks and downlinks, the proposed framework outperforms by 2.18 7.95 dB in terms of the average received PSNR of all users and by 3.82 11.50 dB in terms of the lowest received PSNR among all users. Furthermore, the proposed scheme can provide more uniform video quality for all users and lower quality fluctuation for each received video sequence.},
	keywords = {802.11, allocation;image, allocation;real-time, communications;maximal, distortion;multiuser, end-to-end, error, expected, IEEE, LAN;, mechanism;downlink, multiuser, networks;WLAN;cross-layer, optimization;interactive, optimization;video, Protection, quality;video, resource, sequences;video, streaming, streaming;uplink, streaming;wireless, system;bandwidth, video},
	isbn = {1932-4553},
	doi = {10.1109/JSTSP.2007.901518},
	author = {Su,Guan-Ming and Han,Zhu and M. Wu and Liu,K. J.R}
}
@conference {12609,
	title = {Stabilization and Mosaicing of Airborne Videos},
	booktitle = {Image Processing, 2006 IEEE International Conference on},
	year = {2006},
	month = {2006/10//},
	pages = {345 - 348},
	abstract = {We present an algorithm for stabilizing low-quality and low-resolution video sequences obtained from UAVs and MAVs flying over a predominantly planar terrain. The problem is important for the processing of videos captured from airborne platforms where most of the image region gives little information about the image-motion. The algorithm consists of approximately aligning the images using phase correlation, then refining the transformation parameters using available optical flow measurements and finally performing a minimization of the image difference by carefully selecting the image regions to make the iterations converge. In the second part of the paper, we describe an algorithm for camera ego-motion estimation by incorporating available metadata along with the video sequence. The availability of metadata such as IMU measurements provides a good initial solution for the camera orientation and helps the iterations converge faster by reducing the search space},
	keywords = {airborne, analysis;image, cameras;, convergence;low-resolution, ego-motion, estimation;iterations, flow, measurement;video, mosaicing;camera, MOTION, resolution;image, segmentation;image, sequence;optical, sequences;video, stabilization;image, video, Videos},
	doi = {10.1109/ICIP.2006.313164},
	author = {Ramachandran, M. and Chellapa, Rama}
}
