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Full-Text Articles in Physical Sciences and Mathematics
Event Trend Aggregation Under Rich Event Matching Semantics, Olga Poppe, Chuan Lei, Elke A. Rundensteiner, David Maier
Event Trend Aggregation Under Rich Event Matching Semantics, Olga Poppe, Chuan Lei, Elke A. Rundensteiner, David Maier
Computer Science Faculty Publications and Presentations
Streaming applications from cluster monitoring to algorithmic trading deploy Kleene queries to detect and aggregate event trends. Rich event matching semantics determine how to compose events into trends. The expressive power of stateof- the-art streaming systems remains limited since they do not support many of these semantics. Worse yet, they suffer from long delays and high memory costs because they maintain aggregates at a fine granularity. To overcome these limitations, our Coarse-Grained Event Trend Aggregation (Cogra) approach supports a rich variety of event matching semantics within one system. Better yet, Cogra incrementally maintains aggregates at the coarsest granularity possible for …
Good Similar Patches For Image Denoising, Si Lu
Good Similar Patches For Image Denoising, Si Lu
Computer Science Faculty Publications and Presentations
Patch-based denoising algorithms like BM3D have achieved outstanding performance. An important idea for the success of these methods is to exploit the recurrence of similar patches in an input image to estimate the underlying image structures. However, in these algorithms, the similar patches used for denoising are obtained via Nearest Neighbour Search (NNS) and are sometimes not optimal. First, due to the existence of noise, NNS can select similar patches with similar noise patterns to the reference patch. Second, the unreliable noisy pixels in digital images can bring a bias to the patch searching process and result in a loss …
High-Speed Video From Asynchronous Camera Array, Si Lu
High-Speed Video From Asynchronous Camera Array, Si Lu
Computer Science Faculty Publications and Presentations
This paper presents a method for capturing high-speed video using an asynchronous camera array. Our method sequentially fires each sensor in a camera array with a small time offset and assembles captured frames into a high-speed video according to the time stamps. The resulting video, however, suffers from parallax jittering caused by the viewpoint difference among sensors in the camera array. To address this problem, we develop a dedicated novel view synthesis algorithm that transforms the video frames as if they were captured by a single reference sensor. Specifically, for any frame from a non-reference sensor, we find the two …
Artificial Intelligence Hits The Barrier Of Meaning, Melanie Mitchell
Artificial Intelligence Hits The Barrier Of Meaning, Melanie Mitchell
Computer Science Faculty Publications and Presentations
Today’s AI systems sorely lack the essence of human intelligence: Understanding the situations we experience, being able to grasp their meaning. The lack of humanlike understanding in machines is underscored by recent studies demonstrating lack of robustness of state-of-the-art deep-learning systems. Deeper networks and larger datasets alone are not likely to unlock AI’s “barrier of meaning”; instead the field will need to embrace its original roots as an interdisciplinary science of intelligence.
High-Speed Video From Asynchronous Camera Array (Poster), Si Lu
High-Speed Video From Asynchronous Camera Array (Poster), Si Lu
Computer Science Faculty Publications and Presentations
Poster presented at: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)
Joint Stabilization And Direction Of 360° Videos, Chengzhou Tang, Oliver Wang, Feng Liu, Ping Tan
Joint Stabilization And Direction Of 360° Videos, Chengzhou Tang, Oliver Wang, Feng Liu, Ping Tan
Computer Science Faculty Publications and Presentations
Three-hundred-sixty-degree (360°) video provides an immersive experience for viewers, allowing them to freely explore the world by turning their head. However, creating high-quality 360° video content can be challenging, as viewers may miss important events by looking in the wrong direction, or they may see things that ruin the immersion, such as stitching artifacts and the film crew. We take advantage of the fact that not all directions are equally likely to be observed; most viewers are more likely to see content located at “true north,” i.e., in front of them, due to ergonomic constraints. We therefore propose 360° video …
Context-Aware Synthesis For Video Frame Interpolation, Simon Niklaus, Feng Liu
Context-Aware Synthesis For Video Frame Interpolation, Simon Niklaus, Feng Liu
Computer Science Faculty Publications and Presentations
Video frame interpolation algorithms typically estimate optical flow or its variations and then use it to guide the synthesis of an intermediate frame between two consecutive original frames. To handle challenges like occlusion, bidirectional flow between the two input frames is often estimated and used to warp and blend the input frames. However, how to effectively blend the two warped frames still remains a challenging problem. This paper presents a context-aware synthesis approach that warps not only the input frames but also their pixel-wise contextual information and uses them to interpolate a high-quality intermediate frame. Specifically, we first use a …
Good Similar Patches For Image Denoising (Poster), Si Lu
Good Similar Patches For Image Denoising (Poster), Si Lu
Computer Science Faculty Publications and Presentations
Patch-based denoising algorithms like BM3D have achieved outstanding performance. An important idea for the success of these methods is to exploit the recurrence of similar patches in an input image to estimate the underlying image structures....