Quantifying the local resolution of cryo-EM density maps
A Kucukelbir, FJ Sigworth, HD Tagare - Nature methods, 2014 - nature.com
We propose a definition of local resolution for three-dimensional electron cryo-microscopy
(cryo-EM) density maps that uses local sinusoidal features. Our algorithm has no free …
(cryo-EM) density maps that uses local sinusoidal features. Our algorithm has no free …
[PDF][PDF] A review of visual tracking
K Cannons - Dept. Comput. Sci. Eng., York Univ., Toronto, Canada …, 2008 - eecs.yorku.ca
This report contains a review of visual tracking in monocular video sequences. For the
purpose of this review, the majority of the visual trackers in the literature are divided into …
purpose of this review, the majority of the visual trackers in the literature are divided into …
Action bank: A high-level representation of activity in video
S Sadanand, JJ Corso - 2012 IEEE Conference on computer …, 2012 - ieeexplore.ieee.org
Activity recognition in video is dominated by low-and mid-level features, and while
demonstrably capable, by nature, these features carry little semantic meaning. Inspired by …
demonstrably capable, by nature, these features carry little semantic meaning. Inspired by …
Multimodal saliency and fusion for movie summarization based on aural, visual, and textual attention
Multimodal streams of sensory information are naturally parsed and integrated by humans
using signal-level feature extraction and higher level cognitive processes. Detection of …
using signal-level feature extraction and higher level cognitive processes. Detection of …
Superior colliculus neurons encode a visual saliency map during free viewing of natural dynamic video
Abstract Models of visual attention postulate the existence of a saliency map whose function
is to guide attention and gaze to the most conspicuous regions in a visual scene. Although …
is to guide attention and gaze to the most conspicuous regions in a visual scene. Although …
Local energy pattern for texture classification using self-adaptive quantization thresholds
Local energy pattern, a statistical histogram-based representation, is proposed for texture
classification. First, we use normalized local-oriented energies to generate local feature …
classification. First, we use normalized local-oriented energies to generate local feature …
Dense saliency-based spatiotemporal feature points for action recognition
Several spatiotemporal feature point detectors have been used in video analysis for action
recognition. Feature points are detected using a number of measures, namely saliency …
recognition. Feature points are detected using a number of measures, namely saliency …
A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection
Video anomaly detection and localization is one of the key components of the intelligent
video surveillance system. Video anomaly detection refers to the process of spatiotemporal …
video surveillance system. Video anomaly detection refers to the process of spatiotemporal …
Efficient action spotting based on a spacetime oriented structure representation
This paper addresses action spotting, the spatiotemporal detection and localization of
human actions in video. A novel compact local descriptor of video dynamics in the context of …
human actions in video. A novel compact local descriptor of video dynamics in the context of …
Curvilinear structure analysis by ranking the orientation responses of path operators
The analysis of thin curvilinear objects in 3D images is a complex and challenging task. In
this article, we introduce a new, non-linear operator, called RORPO (Ranking the Orientation …
this article, we introduce a new, non-linear operator, called RORPO (Ranking the Orientation …