Results 21 to 30 of about 7,519,950 (294)

Ontology-Coupled Active Contours for Dynamic Video Scene Understanding [PDF]

, 2011
In this paper, we present an innovative approach coupling active contours with an ontological representation of knowledge, in order to understand scenes acquired by a moving camera and containing multiple non-rigid objects evolving over space and time ...
McCluskey, Thomas L., Thomas L. McCluskey, Olszewska, Joanna I., Joanna I. Olszewska, Olszewska, Joanna Isabelle   +4 more
core   +4 more sources

A Web Application for Watermark Recognition [PDF]

Journal of Data Mining and Digital Humanities, 2020
The study of watermarks is a key step for archivists and historians as it enables them to reveal the origin of paper. Although highly practical, automatic watermark recognition comes with many difficultiesand is still considered an unsolved challenge ...
Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi Shen, Marie-Françoise Limon-Bonnet, François Bougard, Mathieu Aubry, Marc H. Smith, Olivier Poncet, Pierre-Guillaume Raverdy, Christine Bénévent   +10 more
doaj   +1 more source

A Refined-Line-Based Method to Estimate Vanishing Points for Vision-Based Autonomous Vehicles

Vehicles, 2022
Helping vehicles estimate vanishing points (VPs) in traffic environments has considerable value in the field of autonomous driving. It has multiple unaddressed issues such as refining extracted lines and removing spurious VP candidates, which suffers ...
Shengyao Shen, Shanshan Wang, Luping Wang, Hui Wei   +3 more
doaj   +1 more source

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines [PDF]

, 2022
Scene classification carry out an imperative accountability in the current emerging field of automation. Traditional classification methods endure with tedious processing techniques.
Jude Hemanth, D., Chaussalet, T.J., Anitha, J., Kapetanios, D.E., Angelopoulou, A., Surendran, R., D. Jude Hemanth, E. Kapetanios, T. Chausalet, A. Angelopoulou, Ranjini Surendran, J. Anitha   +11 more
core   +1 more source

From a Visual Scene to a Virtual Representation: A Cross-Domain Review

IEEE Access, 2023
The widespread use of smartphones and other low-cost equipment as recording devices, the massive growth in bandwidth, and the ever-growing demand for new applications with enhanced capabilities, made visual data a must in several scenarios, including ...
Americo Pereira, Pedro Carvalho, Nuno Pereira, Paula Viana, Luis Corte-Real   +4 more
doaj   +1 more source

Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks

Remote Sensing, 2021
Scene understanding of remote sensing images is of great significance in various applications. Its fundamental problem is how to construct representative features.
Jian Peng, Xiaoming Mei, Wenbo Li, Liang Hong, Bingyu Sun, Haifeng Li   +5 more
doaj   +1 more source

SECURITY EVENT RECOGNITION FOR VISUAL SURVEILLANCE [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
With rapidly increasing deployment of surveillance cameras, the reliable methods for automatically analyzing the surveillance video and recognizing special events are demanded by different practical applications.
W. Liao, C. Yang, M. Ying Yang, B. Rosenhahn   +3 more
doaj   +1 more source

GaVe: A webcam-based gaze vending interface using one-point calibration

Journal of Eye Movement Research, 2023
Gaze input, i.e., information input via eye of users, represents a promising method for contact-free interaction in human-machine systems. In this paper, we present the GazeVending interface (GaVe), which lets users control actions on a display with ...
Zhe Zeng, Sai Liu, Hao Cheng, Hailong Liu, Yang Li, Yu Feng, Felix Siebert   +6 more
doaj   +1 more source

Understanding visual scenes [PDF]

Natural Language Engineering, 2018
AbstractA growing body of recent work focuses on the challenging problem of scene understanding using a variety of cross-modal methods which fuse techniques from image and text processing. In this paper, we develop representations for the semantics of scenes by explicitly encoding the objects detected in them and their spatial relations.
SILBERER, CARINA, UIJLINGS, JASPER, LAPATA, MIRELLA   +2 more
openaire   +3 more sources

3D scene graph prediction from point clouds

Virtual Reality & Intelligent Hardware, 2022
Background: In this study, we propose a novel 3D scene graph prediction approach for scene understanding from point clouds. Methods: It can automatically organize the entities of a scene in a graph, where objects are nodes and their relationships are ...
Fanfan Wu, Feihu Yan, Weimin Shi, Zhong Zhou   +3 more
doaj   +1 more source