Articles

Contextual Classification of Image Patches with Latent Aspect Models

We present a novel approach for contextual classification of image patches in complex visual scenes, based on the use of histograms of quantized features and probabilistic aspect models. Our approach uses cont...

Authors: Florent Monay, Pedro Quelhas, Jean-Marc Odobez and Daniel Gatica-Perez

A Robust Subpixel Motion Estimation Algorithm Using HOS in the Parametric Domain

Motion estimation techniques are widely used in todays video processing systems. The most frequently used techniques are the optical flow method and phase correlation method. The vast majority of these algorit...

Authors: EM Ismaili Aalaoui, E Ibn-Elhaj and EH Bouyakhf

Edge-Detected Guided Morphological Filter for Image Sharpening

A new edge-guided morphological filter is proposed to sharpen digital images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success...

Authors: TA Mahmoud and S Marshall

Models for Patch-Based Image Restoration

We present a supervised learning approach for object-category specific restoration, recognition, and segmentation of images which are blurred using an unknown kernel. The novelty of this work is a multilayer g...

Authors: Mithun Das Gupta, Shyamsundar Rajaram, Nemanja Petrovic and Thomas S. Huang

Quality Assessment of Stereoscopic Images

Several metrics have been proposed in literature to assess the perceptual quality of two-dimensional images. However, no similar effort has been devoted to quality assessment of stereoscopic images. Therefore,...

Authors: Alexandre Benoit, Patrick Le Callet, Patrizio Campisi and Romain Cousseau

Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions

A successful representation of objects in literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different parts of an object are constrained ...

Authors: Devi Parikh and Tsuhan Chen

Building Local Features from Pattern-Based Approximations of Patches: Discussion on Moments and Hough Transform

The paper overviews the concept of using circular patches as local features for image description, matching, and retrieval. The contents of scanning circular windows are approximated by predefined patterns. Ch...

Authors: Andrzej Sluzek

Fast Macroblock Mode Selection Algorithm for Multiview Video Coding

Multiview video coding (MVC) plays an important role in three-dimensional video applications. Joint Video Team developed a joint multiview video model (JMVM) in which full-search algorithm is employed in macro...

Authors: Zongju Peng, Gangyi Jiang, Mei Yu and Qionghai Dai

Multiple Human Tracking Using Particle Filter with Gaussian Process Dynamical Model

We present a particle filter-based multitarget tracking method incorporating Gaussian process dynamical model (GPDM) to improve robustness in multitarget tracking. With the particle filter Gaussian process dyn...

Authors: Jing Wang, Yafeng Yin and Hong Man

Occlusion-Aware View Interpolation

View interpolation is an essential step in content preparation for multiview 3D displays, free-viewpoint video, and multiview image/video compression. It is performed by establishing a correspondence among vie...

Authors: Serdar Ince and Janusz Konrad

Multiview Trajectory Mapping Using Homography with Lens Distortion Correction

We present a trajectory mapping algorithm for a distributed camera setting that is based on statistical homography estimation accounting for the distortion introduced by camera lenses. Unlike traditional appro...

Authors: Gabin Kayumbi and Andrea Cavallaro

Robust and Scalable Transmission of Arbitrary 3D Models over Wireless Networks

We describe transmission of 3D objects represented by texture and mesh over unreliable networks, extending our earlier work for regular mesh structure to arbitrary meshes and considering linear versus cubic in...

Authors: Irene Cheng, Lihang Ying, Kostas Daniilidis and Anup Basu

A Nonlinear Decision-Based Algorithm for Removal of Strip Lines, Drop Lines, Blotches, Band Missing and Impulses in Images and Videos

A decision-based nonlinear algorithm for removal of strip lines, drop lines, blotches, band missing, and impulses in images is presented. The algorithm performs two simultaneous operations, namely, detection o...

Authors: S Manikandan and D Ebenezer

Feature Classification for Robust Shape-Based Collaborative Tracking and Model Updating

A new collaborative tracking approach is introduced which takes advantage of classified features. The core of this tracker is a single tracker that is able to detect occlusions and classify features contributi...

Authors: M. Asadi, F. Monti and C. S. Regazzoni

Tracking of Moving Objects in Video Through Invariant Features in Their Graph Representation

The paper suggests a contour-based algorithm for tracking moving objects in video. The inputs are segmented moving objects. Each segmented frame is transformed into region adjacency graphs (RAGs). The object's...

Authors: O Miller, A Averbuch and E Navon

Iterative Object Localization Algorithm Using Visual Images with a Reference Coordinate

We present a simplified algorithm for localizing an object using multiple visual images that are obtained from widely used digital imaging devices. We use a parallel projection model which supports both zoomin...

Authors: Kyoung-Su Park, Jinseok Lee, Milutin Stanaćević, Sangjin Hong and We-Duke Cho

Efficient Adaptive Combination of Histograms for Real-Time Tracking

We quantitatively compare two template-based tracking algorithms, Hager's method and the hyperplane tracker, and three histogram-based methods, the mean-shift tracker, two trust-region trackers, and the CONDEN...

Authors: F Bajramovic, B Deutsch, Ch Gräßl and J Denzler

A Scalable Clustered Camera System for Multiple Object Tracking

Reliable and efficient tracking of objects by multiple cameras is an important and challenging problem, which finds wide-ranging application areas. Most existing systems assume that data from multiple cameras ...

Authors: Senem Velipasalar, Jason Schlessman, Cheng-Yao Chen, WayneH Wolf and JaswinderP Singh

A Review and Comparison of Measures for Automatic Video Surveillance Systems

Today's video surveillance systems are increasingly equipped with video content analysis for a great variety of applications. However, reliability and robustness of video content analysis algorithms remain an ...

Authors: Axel Baumann, Marco Boltz, Julia Ebling, Matthias Koenig, HartmutS Loos, Marcel Merkel, Wolfgang Niem, JanKarl Warzelhan and Jie Yu

Improved Motion Estimation Using Early Zero-Block Detection

We incorporate the early zero-block detection technique into the UMHexagonS algorithm, which has already been adopted in H.264/AVC JM reference software, to speed up the motion estimation process. A nearly suf...

Authors: YM Lee, YJ Tsai and Y Lin

Robust Real-Time 3D Object Tracking with Interfering Background Visual Projections

This paper presents a robust real-time object tracking system for human computer interaction in mediated environments with interfering visual projection in the background. Two major contributions are made in o...

Authors: Huan Jin and Gang Qian

Track and Cut: Simultaneous Tracking and Segmentation of Multiple Objects with Graph Cuts

This paper presents a new method to both track and segment multiple objects in videos using min-cut/max-flow optimizations. We introduce objective functions that combine low-level pixel wise measures (color, m...

Authors: Aurélie Bugeau and Patrick Pérez

Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed, based on a variety of features and algorithms. Recently, there has be...

Authors: Keni Bernardin and Rainer Stiefelhagen

Color in Image and Video Processing: Most Recent Trends and Future Research Directions

The motivation of this paper is to provide an overview of the most recent trends and of the future research directions in color image and video processing. Rather than covering all aspects of the domain this s...

Authors: Alain Trémeau, Shoji Tominaga and KonstantinosN Plataniotis

Color in Image and Video Processing

Authors: Alain Trémeau, Shoji Tominaga and KonstantinosN Plataniotis

Image and Video Processing for Disability

Authors: Alice Caplier, Thierry Pun and Dimitrios Tzovaras

Anthropocentric Video Analysis: Tools and Applications

Authors: Nikos Nikolaidis, Maja Pantic and Ioannis Pitas

Image and Video for Hearing Impaired People

We present a global overview of image- and video-processing-based methods to help the communication of hearing impaired people. Two directions of communication have to be considered: from a hearing person to a...

Authors: Alice Caplier, Sébastien Stillittano, Oya Aran, Lale Akarun, Gérard Bailly, Denis Beautemps, Nouredine Aboutabit and Thomas Burger

Optimal Features Subset Selection and Classification for Iris Recognition

The selection of the optimal features subset and the classification have become an important issue in the field of iris recognition. We propose a feature selection scheme based on the multiobjectives genetic a...

Authors: Kaushik Roy and Prabir Bhattacharya

Three-Dimensional SPIHT Coding of Volume Images with Random Access and Resolution Scalability

End users of large volume image datasets are often interested only in certain features that can be identified as quickly as possible. For hyperspectral data, these features could reside only in certain ranges ...

Authors: Emmanuel Christophe and WilliamA Pearlman

Video Analysis of Human Gait and Posture to Determine Neurological Disorders

This paper investigates the application of digital image processing techniques to the detection of neurological disorder. Visual information extracted from the postures and movements of a human gait cycle can ...

Authors: Howard Lee, Ling Guan and Ivan Lee

Image and Video Processing for Visually Handicapped People

This paper reviews the state of the art in the field of assistive devices for sight-handicapped people. It concentrates in particular on systems that use image and video processing for converting visual data i...

Authors: Thierry Pun, Patrick Roth, Guido Bologna, Konstantinos Moustakas and Dimitrios Tzovaras

Facial Image Processing

Authors: Christophe Garcia, Jörn Ostermann and Tim Cootes

Comparative Study of Contour Detection Evaluation Criteria Based on Dissimilarity Measures

We present in this article a comparative study of well-known supervised evaluation criteria that enable the quantification of the quality of contour detection algorithms. The tested criteria are often used or ...

Authors: Sébastien Chabrier, Hélène Laurent, Christophe Rosenberger and Bruno Emile

Monocular 3D Tracking of Articulated Human Motion in Silhouette and Pose Manifolds

This paper presents a robust computational framework for monocular 3D tracking of human movement. The main innovation of the proposed framework is to explore the underlying data structures of the body silhouet...

Authors: Feng Guo and Gang Qian

Fuzzy Mode Enhancement and Detection for Color Image Segmentation

This work lies within the scope of color image segmentation by pixel classification. The classes of pixels are constructed by detecting the modes of the spatial-color compactness function, which characterizes ...

Authors: Olivier Losson, Claudine Botte-Lecocq and Ludovic Macaire

A Color Topographic Map Based on the Dichromatic Reflectance Model

Topographic maps are an interesting alternative to edge-based techniques common in computer vision applications. Indeed, unlike edges, level lines are closed and less sensitive to external parameters. They pro...

Authors: Michèle Gouiffès and Bertrand Zavidovique

Optimization-Based Image Segmentation by Genetic Algorithms

Many works in the literature focus on the definition of evaluation metrics and criteria that enable to quantify the performance of an image processing algorithm. These evaluation criteria can be used to define...

Authors: S Chabrier, C Rosenberger, B Emile and H Laurent

Robust Color Image Superresolution: An Adaptive M-Estimation Framework

This paper introduces a new color image superresolution algorithm in an adaptive, robust M-estimation framework. Using a robust error norm in the objective function, and adapting the estimation process to each...

Authors: NohaA El-Yamany and PanosE Papamichalis

Color Image Coding by Colorization Approach

This paper proposes a new color image coding scheme called "colorization image coding." The scheme is based on the colorization technique which can colorize a monochrome image by giving a small number of color...

Authors: Takahiko Horiuchi and Shoji Tominaga

Improving the Quality of Color Colonoscopy Videos

Colonoscopy is currently one of the best methods to detect colorectal cancer. Nowadays, one of the widely used colonoscopes has a monochrome chipset recording successively at 60 Hz ...

Authors: Rozenn Dahyot, Fernando Vilariño and Gerard Lacey

A Fuzzy Color-Based Approach for Understanding Animated Movies Content in the Indexing Task

This paper proposes a method for detecting and analyzing the color techniques used in the animated movies. Each animated movie uses a specific color palette which makes its color distribution one major feature...

Authors: Bogdan Ionescu, Didier Coquin, Patrick Lambert and Vasile Buzuloiu

Are the Wavelet Transforms the Best Filter Banks for Image Compression?

Maximum regular wavelet filter banks have received much attention in the literature, and it is a general conception that they enjoy some type of optimality for image coding purposes. To investigate this claim,...

Authors: Ilangko Balasingham and Tor A. Ramstad

A Motion-Adaptive Deinterlacer via Hybrid Motion Detection and Edge-Pattern Recognition

A novel motion-adaptive deinterlacing algorithm with edge-pattern recognition and hybrid motion detection is introduced. The great variety of video contents makes the processing of assorted motion, edges, text...

Authors: GwoGiun Lee, Ming-Jiun Wang, Hsin-Te Li and He-Yuan Lin

Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction

Cued Speech is a specific linguistic code for hearing-impaired people. It is based on both lip reading and manual gestures. In the context of THIMP (Telephony for the Hearing-IMpaired Project), we work on auto...

Authors: Thomas Burger, Alice Caplier and Pascal Perret

Quantification and Standardized Description of Color Vision Deficiency Caused by Anomalous Trichromats—Part I: Simulation and Measurement

The MPEG-21 Multimedia Framework allows visually impaired users to have an improved access to visual content by enabling content adaptation techniques such as color compensation. However, one important issue i...

Authors: Seungji Yang, YongMan Ro, EdwardK Wong and Jin-Hak Lee

Color-Based Image Retrieval Using Perceptually Modified Hausdorff Distance

In most content-based image retrieval systems, the color information is extensively used for its simplicity and generality. Due to its compactness in characterizing the global information, a uniform quantizati...

Authors: Bo Gun Park, Kyoung Mu Lee and Sang Uk Lee

Quantification and Standardized Description of Color Vision Deficiency Caused by Anomalous Trichromats—Part II: Modeling and Color Compensation

A color compensation scheme has been developed to enhance the perception of people with color vision deficiency (CVD) and for people suffering from anomalous trichromacy. It is operated within the MPEG-21 Mult...

Authors: Seungji Yang, YongMan Ro, EdwardK Wong and Jin-Hak Lee

Comparison of Image Transform-Based Features for Visual Speech Recognition in Clean and Corrupted Videos

We present results of a study into the performance of a variety of different image transform-based feature types for speaker-independent visual speech recognition of isolated digits. This includes the first re...

Authors: Rowan Seymour, Darryl Stewart and Ji Ming

Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching

The ability of detecting human postures is particularly important in several fields like ambient intelligence, surveillance, elderly care, and human-machine interaction. This problem has been studied in recent...

Authors: Stefano Pellegrini and Luca Iocchi