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Article
Open AccessNo-reference video quality assessment via pretrained CNN and LSTM networks
A general-purpose no-reference video quality assessment algorithm based on a long short-term memory (LSTM) network and a pretrained convolutional neural network (CNN) is introduced. Considering video sequences...
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Chapter and Conference Paper
Fusion Markov Random Field Image Segmentation for a Time Series of Remote Sensed Images
Change detection on images of very different time instants from remote sensing databases and up-to-date satellite born or UAV born imaging is an emerging technology platform today. Since outdoor sceneries, pri...
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Article
Robust real-time pedestrian detection in surveillance videos
Detecting different categories of objects in an image and video content is one of the fundamental tasks in computer vision research. Pedestrian detection is a hot research topic, with several applications incl...
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Chapter and Conference Paper
Twin Deep Convolutional Neural Network for Example-Based Image Colorization
This paper deals with the colorization of grayscale images. Recent papers have shown remarkable results on image colorization utilizing various deep architectures. Unlike previous methods, we perform colorizat...
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Article
Guest editorial: Content-Based Multimedia Indexing
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Chapter and Conference Paper
Calibrationless Sensor Fusion Using Linear Optimization for Depth Matching
Recently the observation of surveillanced areas scanned by multi-camera systems is getting more and more popular. The newly developed sensors give new opportunities for exploiting novel features.
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Chapter and Conference Paper
An Integrated 4D Vision and Visualisation System
This paper reports on a pilot system for reconstruction and visualisation of complex spatio-temporal scenes by integrating two different types of data: outdoor 4D data measured by a rotating multi-beam LIDAR s...
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Chapter and Conference Paper
A Dynamic MRF Model for Foreground Detection on Range Data Sequences of Rotating Multi-beam Lidar
In this paper, we propose a probabilistic approach for foreground segmentation in 360°-view-angle range data sequences, recorded by a rotating multi-beam Lidar sensor, which monitors the scene from a fixed pos...
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Chapter and Conference Paper
Geometrical and Textural Component Separation with Adaptive Scale Selection
The present paper addresses the cartoon/texture decomposition task, offering theoretically clear solutions for the main issues of adaptivity, structure enhancement and the quality criterion of the goal functio...
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Chapter and Conference Paper
The Appearance of the Giant Component in Descriptor Graphs and Its Application for Descriptor Selection
The paper presents a random graph based analysis approach for evaluating descriptors based on pairwise distance distributions on real data. Starting from the Erdős-Rényi model the paper presents results of inv...
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Chapter and Conference Paper
Data Simulation and Testing of Visual Algorithms in Synthetic Environments for Security Sensor Networks
Current development of security sensor networks and their processing algorithms use pre-recorded or abstract data streams for testing, often missing important ground truth for validation. This paper proposes a...
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Chapter and Conference Paper
Intelligent Multi Sensor Fusion System for Advanced Situation Awareness in Urban Environments
This paper presents a distributed multi sensor data processing and fusion system providing sophisticated surveillance capabilities in the urban environment. The system enables visual/non-visual event detection...
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Chapter and Conference Paper
Tracking the Saliency Features in Images Based on Human Observation Statistics
We address the statistical inference of saliency features in the images based on human eye-tracking measurements. Training videos were recorded by a head-mounted wearable eye-tracker device, where the position...
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Chapter and Conference Paper
Orthogonality Based Stop** Condition for Iterative Image Deconvolution Methods
Deconvolution techniques are widely used for image enhancement from microscopy to astronomy. The most effective methods are based on some iteration techniques, including Bayesian blind methods or Greedy algori...
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Article
Trainable blotch detection on high resolution archive films minimizing the human interaction
Film archives are continuously in need of automatic restoration tools to accelerate the correction of film artifacts and to decrease the costs. Blotches are a common type of film degradation and their correcti...
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Chapter and Conference Paper
VISRET – A Content Based Annotation, Retrieval and Visualization Toolchain
This paper presents a system for content-based video retrieval, with a complete toolchain for annotation, indexing, retrieval and visualization of imported data. The system contains around 20 feature descripto...
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Chapter and Conference Paper
Geometrical Scene Analysis Using Co-motion Statistics
Deriving the geometrical features of an observed scene is pivotal for better understanding and detection of events in recorded videos. In the paper methods are presented for the estimation of various geometric...
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Chapter and Conference Paper
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
In this paper we give a new model for foreground-back-ground-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly background like colors and shadows ar...
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Chapter
PEDESTRIAN DETECTION USING DERIVED THIRD-ORDER SYMMETRY OF LEGS A novel method of motion-based information extraction from video image-sequences
The paper focuses on motion-based information extraction from video imagesequences. A novel method is introduced which can reliably detect walking human figures contained in such images. The method works with ...
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Chapter and Conference Paper
Image Indexing by Focus Map
Content-based indexing and retrieval (CBIR) of still and motion picture databases is an area of ever increasing attention. In this paper we present a method for still image information extraction, which in its...
