Search Results - "Briassouli, Alexia"
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MindSpaces: Art-driven Adaptive Outdoors and Indoors Design
Published in Digital Presentation and Preservation of Cultural and Scientific Heritage (26-09-2019)“…MindSpaces provides solutions for creating functionally and emotionally appealing architectural designs in urban spaces. Social media services, physiological…”
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Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection
Published in EURASIP journal on image and video processing (01-01-2009)“…The widespread use of digital multimedia in applications, such as security, surveillance, and the semantic web, has made the automated characterization of…”
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3
Swarm Intelligence for Detecting Interesting Events in Crowded Environments
Published in IEEE transactions on image processing (01-07-2015)“…This paper focuses on detecting and localizing anomalous events in videos of crowded scenes, i.e., divergences from a dominant pattern. Both motion and…”
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4
Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection
Published in EURASIP journal on image and video processing (01-01-2009)“…The widespread use of digital multimedia in applications, such as security, surveillance, and the semantic web, has made the automated characterization of…”
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5
Multiple Hierarchical Dirichlet Processes for anomaly detection in traffic
Published in Computer vision and image understanding (01-04-2018)“…•An unsupervised approach to scene analysis and anomaly detection in traffic scenes, as captured from static surveillance cameras is introduced.•Dynamically…”
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6
Activity detection using Sequential Statistical Boundary Detection (SSBD)
Published in Computer vision and image understanding (01-03-2016)“…•We propose a novel activity detection scheme tailored for home environment scenes.•We introduce three new action datasets for action detection…”
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7
Combination of Accumulated Motion and Color Segmentation for Human Activity Analysis
Published in EURASIP journal on image and video processing (01-01-2008)“…The automated analysis of activity in digital multimedia, and especially video, is gaining more and more importance due to the evolution of higher-level video…”
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8
The Effect of Spatial and Temporal Occlusion on Word Level Sign Language Recognition
Published in 2022 IEEE International Conference on Image Processing (ICIP) (16-10-2022)“…Driven by the appeal of real-world applicable models, we investigate how temporal and spatial occlusion affect sign language recognition. Utilizing only a crop…”
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Conference Proceeding -
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Deep learning-based super-resolution and de-noising for XMM-newton images
Published in Monthly notices of the Royal Astronomical Society (01-11-2022)“…The field of artificial intelligence based image enhancement has been rapidly evolving over the last few years and is able to produce impressive results on…”
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10
Efficient motion estimation methods for fast recognition of activities of daily living
Published in Signal processing. Image communication (01-04-2017)“…This work proposes a framework for the efficient recognition of activities of daily living (ADLs), captured by static color cameras, applicable in real world…”
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Mining discriminative descriptors for goal-based activity detection
Published in Computer vision and image understanding (01-07-2017)“…•A goal-based framework for activity detection in continuous videos is proposed.•Each of the activities that need to be detected is assigned a certain…”
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Fast Watermarking of MPEG-1/2 Streams Using Compressed-Domain Perceptual Embedding and a Generalized Correlator Detector
Published in EURASIP journal on advances in signal processing (08-07-2004)“…: A novel technique is proposed for watermarking of MPEG-1 and MPEG-2 compressed video streams. The proposed scheme is applied directly in the domain of MPEG-1…”
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Dynamic texture recognition and localization in machine vision for outdoor environments
Published in Computers in industry (01-06-2018)“…•A superpixel-based clustering scheme achieves balance between local-global features.•Novel hand crafted descriptors lead to a fast recognition and…”
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14
Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition
Published in IEEE transactions on pattern analysis and machine intelligence (01-08-2016)“…Combining multimodal concept streams from heterogeneous sensors is a problem superficially explored for activity recognition. Most studies explore simple…”
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EVALUATING THE FEASIBILITY OF USING DEEP LEARNING MODELS FOR SYNTHETIC IMAGE GENERATION IN ADAPTIVE RADIOTHERAPY
Published in Physica medica (01-12-2022)Get full text
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16
Extraction and Analysis of Multiple Periodic Motions in Video Sequences
Published in IEEE transactions on pattern analysis and machine intelligence (01-07-2007)“…The analysis of periodic or repetitive motions is useful in many applications, such as the recognition and classification of human and animal activities…”
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Locally optimum nonlinearities for DCT watermark detection
Published in IEEE transactions on image processing (01-12-2004)“…The issue of copyright protection of digital multimedia data has attracted a lot of attention during the last decade. An efficient copyright protection method…”
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Swarm-based motion features for anomaly detection in crowds
Published in 2014 IEEE International Conference on Image Processing (ICIP) (01-10-2014)“…In this work we propose a novel approach to the detection of anomalous events occurring in crowded scenes. Swarm theory is applied for the creation of a motion…”
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Conference Proceeding -
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Unknown Crowd Event Detection from Phase-Based Statistics
Published in 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (01-11-2018)“…A new approach for unknown event detection in videos with dense motion, such as crowds or dynamic textures, is developed, without requiring the estimation of…”
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Conference Proceeding -
20
Robust Temporal Activity Templates Using Higher Order Statistics
Published in IEEE transactions on image processing (01-12-2009)“…A robust, theoretically founded approach for the extraction of temporal templates corresponding to areas of motion in video, is presented. Higher order…”
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Journal Article