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 …

[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 …

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 …

Multimodal saliency and fusion for movie summarization based on aural, visual, and textual attention

G Evangelopoulos, A Zlatintsi… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Multimodal streams of sensory information are naturally parsed and integrated by humans
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

BJ White, DJ Berg, JY Kan, RA Marino, L Itti… - Nature …, 2017 - nature.com
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 …

Local energy pattern for texture classification using self-adaptive quantization thresholds

J Zhang, J Liang, H Zhao - IEEE transactions on image …, 2012 - ieeexplore.ieee.org
Local energy pattern, a statistical histogram-based representation, is proposed for texture
classification. First, we use normalized local-oriented energies to generate local feature …

Dense saliency-based spatiotemporal feature points for action recognition

K Rapantzikos, Y Avrithis… - 2009 IEEE Conference on …, 2009 - ieeexplore.ieee.org
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 …

A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection

R Nayak, UC Pati, SK Das - Multimedia Tools and Applications, 2024 - Springer
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 …

Efficient action spotting based on a spacetime oriented structure representation

KG Derpanis, M Sizintsev, K Cannons… - 2010 IEEE Computer …, 2010 - ieeexplore.ieee.org
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 …

Curvilinear structure analysis by ranking the orientation responses of path operators

O Merveille, H Talbot, L Najman… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
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 …