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Aggelos K. Katsaggelos

Researcher at Northwestern University

Publications -  999
Citations -  28918

Aggelos K. Katsaggelos is an academic researcher from Northwestern University. The author has contributed to research in topics: Image restoration & Image processing. The author has an hindex of 76, co-authored 946 publications receiving 26196 citations. Previous affiliations of Aggelos K. Katsaggelos include University of Stavanger & Delft University of Technology.

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Unequal Error Protection for Robust Streaming of Scalable Video Over Packet Lossy Networks

TL;DR: Experimental results demonstrate that precise distortion estimation enables the proposed transmission system to achieve a significantly higher average video peak signal-to-noise ratio compared to a conventional content independent system.
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Parameter estimation in Bayesian high-resolution image reconstruction with multisensors

TL;DR: This paper derives mathematical expressions for the iterative calculation of the maximum likelihood estimate of the unknown parameters given the low resolution observed images for reconstructing a high-resolution image from multiple undersampled, shifted, degraded frames with subpixel displacement errors.
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A review of the minimum maximum criterion for optimal bit allocation among dependent quantizers

TL;DR: It is argued that, in many applications, the MINMAX criterion is more appropriate than the more popular MINAVE criterion, and the way both criteria can be applied simultaneously within the same optimization framework is discussed.
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Advances in Efficient Resource Allocation for Packet-Based Real-Time Video Transmission

TL;DR: This work presents a high-level framework for resource-distortion optimization on point-to-point coding and delivery schemes in which the sequences are encoded on the fly, and highlights recent advances in optimal resource allocation for real-time video communications over unreliable and resource constrained communication channels.
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Resource Allocation for Downlink Multiuser Video Transmission Over Wireless Lossy Networks

TL;DR: The scheme makes use of a packet prioritization strategy that orders video packets based on their contribution to reducing the expected distortion of the received video sequence, and significantly outperforms content-independent packet scheduling schemes.