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Displaying 1-50 out of 65 total
Guest Editors' Introduction: Human-Centered Computing--Toward a Human Revolution
Found in: Computer
By Alejandro Jaimes, Daniel Gatica-Perez, Nicu Sebe, Thomas S. Huang
Issue Date:May 2007
pp. 30-34
Human-centered computing studies the design, development, and deployment of mixed-initiative human-computer systems. HCC is emerging from the convergence of multiple disciplines that are concerned both with understanding human beings and with the design of...
 
Human-Centered Computing: Challenges and Perspectives
Found in: Data Engineering Workshops, 22nd International Conference on
By Nicu Sebe
Issue Date:April 2007
pp. 2
Computing is at one of its most exciting moments in history, playing an essential role in supporting many important human activities. The explosion in the availability of information in various media forms and through multiple sensors and devices means, on...
 
Evaluation of Intensity and Color Corner Detectors for Affine Invariant Salient Regions
Found in: Computer Vision and Pattern Recognition Workshop
By Nicu Sebe, Theo Gevers, Sietse Dijkstra, Joost van de Weije
Issue Date:June 2006
pp. 18
Global features are commonly used to describe the image content. The problem with this approach is that these features cannot capture all parts of the image having different characteristics. Therefore, local computation of image information is necessary. B...
 
Robust Error Metric Analysis for Noise Estimation in Image Indexing
Found in: Computer Vision and Pattern Recognition Workshop
By Qi Tian, Jie Yu, Qing Xue, Nicu Sebe, Thomas S. Huang
Issue Date:July 2004
pp. 140
In many computer vision algorithms, the well known Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when the additive noise is Gaussian. However, Gaussian noise distribution assumptio...
 
Authentic Facial Expression Analysis
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Nicu Sebe, Michael S. Lew, Ira Cohen, Yafei Sun, Theo Gevers, Thomas S. Huang
Issue Date:May 2004
pp. 517
It is argued that for the computer to be able to interact with humans, it needs to have the communication skills of humans. One of these skills is the ability to understand the emotional state of the person. The most expressive way humans display emotions ...
 
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ira Cohen, Nicu Sebe, Fabio G. Cozman, Marcelo C. Cirelo, Thomas S. Huang
Issue Date:June 2003
pp. 595
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through facial expressions. In this paper, we report on several advances we have mad...
 
COMPARING SALIENT POINT DETECTORS
Found in: Multimedia and Expo, IEEE International Conference on
By Nicu Sebe, Michael S. Lew
Issue Date:August 2001
pp. 17
The use of salient points in content-based retrieval allows an image index to represent local properties of the image. Classic corner detectors can also be used for this purpose but they have drawbacks when are applied to various natural images mainly beca...
 
Visual Websearching Using Iconic Queries
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Michael S. Lew, Nicu Sebe
Issue Date:June 2000
pp. 2788
Imagine a professional Web site designer who constantly has to come up with innovative looks for the client's homepages? How does he find the new content? The major search engines such as Hotbot (http://www.hotbot.com) allow us to find text on the Web, but...
 
No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Yan Yan,Elisa Ricci,Ramanathan Subramanian,Oswald Lanz,Nicu Sebe
Issue Date:December 2013
pp. 1177-1184
We propose a novel Multi-Task Learning framework (FEGA-MTL) for classifying the head pose of a person who moves freely in an environment monitored by multiple, large field-of-view surveillance cameras. As the target (person) moves, distortions in facial ap...
 
Feature Weighting via Optimal Thresholding for Video Analysis
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Zhongwen Xu,Yi Yang,Ivor Tsang,Nicu Sebe,Alexander G. Hauptmann
Issue Date:December 2013
pp. 3440-3447
Fusion of multiple features can boost the performance of large-scale visual classification and detection tasks like TRECVID Multimedia Event Detection (MED) competition [1]. In this paper, we propose a novel feature fusion approach, namely Feature Weightin...
 
Multimodal Engagement Classification for Affective Cinema
Found in: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)
By Mojtaba Khomami Abadi,Jacopo Staiano,Alessandro Cappelletti,Massimo Zancanaro,Nicu Sebe
Issue Date:September 2013
pp. 411-416
This paper describes a multimodal approach to detect viewers' engagement through psycho-physiological affective signals. We investigate the individual contributions of the different modalities, and report experimental results obtained using several fusion ...
 
User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses
Found in: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)
By Mojtaba Khomami Abadi,Seyed Mostafa Kia,Ramanathan Subramanian,Paolo Avesani,Nicu Sebe
Issue Date:September 2013
pp. 582-587
This paper presents a new multimodal database and the associated results for characterization of affect (valence, arousal and dominance) using the Magneto encephalogram (MEG) brain signals and peripheral physiological signals (horizontal EOG, ECG, trapeziu...
 
Connecting Meeting Behavior with Extraversion—A Systematic Study
Found in: IEEE Transactions on Affective Computing
By Bruno Lepri,Ramanathan Subramanian,Kyriaki Kalimeri,Jacopo Staiano,Fabio Pianesi,Nicu Sebe
Issue Date:September 2012
pp. 443-455
This work investigates the suitability of medium-grained meeting behaviors, namely, speaking time and social attention, for automatic classification of the Extraversion personality trait. Experimental results confirm that these behaviors are indeed effecti...
 
Visual Gaze Estimation by Joint Head and Eye Information
Found in: Pattern Recognition, International Conference on
By Roberto Valenti, Adel Lablack, Nicu Sebe, Chabane Djeraba, Theo Gevers
Issue Date:August 2010
pp. 3870-3873
In this paper, we present an unconstrained visual gaze estimation system. The proposed method extracts the visual field of view of a person looking at a target scene in order to estimate the approximate location of interest (visual gaze). The novelty of th...
 
Translating Journalists' Requirements into Features for Image Search
Found in: Virtual Systems and MultiMedia, International Conference on
By Julian Stöttinger, Jana Banova, Thomas Pönitz, Nicu Sebe, Allan Hanbury
Issue Date:September 2009
pp. 149-153
This paper illustrates how taking advantage of user studies highlighting the user requirements can lead to the selection of suitable visual features in image search systems. The results of a study to identify pertinent visual features to enhance a text-bas...
 
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jaume Amores, Nicu Sebe, Petia Radeva
Issue Date:October 2007
pp. 1818-1833
We present a novel approach for retrieval of object categories based on a novel type of image representation: the Generalized Correlogram (GC). In our image representation, the object is described as a constellation of GCs where each one encodes informatio...
 
Distance Learning for Similarity Estimation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi Tian
Issue Date:March 2008
pp. 451-462
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance functions. A new set of distance measures are derived from the harmonic distance, th...
 
The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis
Found in: Pattern Recognition, International Conference on
By Yafei Sun, Nicu Sebe, Michel Mercera
Issue Date:August 2006
pp. 1166-1170
Face recognition in adults is the product of a unique mechanism in the brain and it is based on years of experience. The goal of this paper is to analyze the role of configural and featural information for face classification and to compare the performance...
 
A New Study on Distance Metrics as Similarity Measurement
Found in: Multimedia and Expo, IEEE International Conference on
By Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian
Issue Date:July 2006
pp. 533-536
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distributions. A general guideline to establish the relation between a distribution model...
 
Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jaume Amores, Nicu Sebe, Petia Radeva
Issue Date:June 2005
pp. 769-774
We present a novel approach for fast object class recognition incorporating contextual information into boosting. The object is represented as a constellation of generalized correlograms that integrate both information of local parts and their spatial rela...
 
Semi-Supervised Face Detection
Found in: Computer Vision and Pattern Recognition Workshop
By Nicu Sebe, Ira Cohen, Thomas S. Huang, Theo Gevers
Issue Date:June 2005
pp. 51
<p>This paper presents a discussion on semi-supervised learning of probabilistic mixture model classifiers for face detection. We present a theoretical analysis of semi-supervised learning and show that there is an overlooked fundamental difference b...
 
How to Complete Performance Graphs in Content-Based Image Retrieval: Add Generality and Normalize Scope
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dionysius P. Huijsmans, Nicu Sebe
Issue Date:February 2005
pp. 245-251
The performance of a Content-Based Image Retrieval (CBIR) system, presented in the form of Precision-Recall or Precision-Scope graphs, offers an incomplete overview of the system under study: The influence of the irrelevant items (embedding) is obscured. I...
 
Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ira Cohen, Fabio G. Cozman, Nicu Sebe, Marcelo C. Cirelo, Thomas S. Huang
Issue Date:December 2004
pp. 1553-1567
Automatic classification is one of the basic tasks required in any pattern recognition and human computer interaction application. In this paper, we discuss training probabilistic classifiers with labeled and unlabeled data. We provide a new analysis that ...
 
Emotion Recognition Using a Cauchy Naive Bayes Classifier
Found in: Pattern Recognition, International Conference on
By Nicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Garg, Thomas S. Huang
Issue Date:August 2002
pp. 10017
Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper we propose a method for recognizing emotions through facial expressions displayed in video sequences. We introduce the Cauchy Naive Bayes c...
 
Detecting Automobiles and People for Semantic Video Retrieval
Found in: Pattern Recognition, International Conference on
By Rene Visser, Nicu Sebe, Michael S. Lew
Issue Date:August 2002
pp. 20733
This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active contour over the video sequence. We use the sequential probability ratio tes...
 
Wavelet Based Texture Classification
Found in: Pattern Recognition, International Conference on
By Nicu Sebe, Michael S. Lew
Issue Date:September 2000
pp. 3959
Textures are one of the basic features in visual searching and computational vision. In the literature, most of the attention has been focused on the texture features with minimal consideration of the noise models. In this paper, we investigated the proble...
 
Maximum Likelihood Stereo Matching
Found in: Pattern Recognition, International Conference on
By Nicu Sebe, Michael S. Lew
Issue Date:September 2000
pp. 1900
In the research literature, maximum likelihood principles were applied to stereo matching by altering the stereo pair so that the difference would have a Gaussian distribution. Here in this paper we present a novel method of applying maximum likelihood to ...
 
Improving Visual Matching
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Michael S. Lew, Nicu Sebe, Thomas S. Huang
Issue Date:June 2000
pp. 2058
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared differences (SSD), which is valid from a maximum likelihood perspective when the real no...
 
Generation of the HDL-A-Model of a Micromembrane from Its Finite-Element-Description
Found in: European Design and Test Conference
By Klaus Hofmann, Manfred Glesner, Nicu Sebe, A. Manolescu, Santiago Marco, Josep Samitier, Jean-Michel Karam, Bernard Courtois
Issue Date:March 1997
pp. 108
A CAD tool for the automated generation of behavioral models in HDL-A is presented. This CAD tool has been implemented in the frame of a project for the automatic modeling of microsystem components for the co-simulation with VHDL or Spice-models. Starting ...
 
Special section from the ACM multimedia conference 2007
Found in: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
By Alan Hanjalic, Brian P. Bailey, Brian P. Bailey, Nicu Sebe, Nicu Sebe
Issue Date:October 2008
pp. 1-3
The literature reports research efforts allowing the editing of interactive TV multimedia documents by end-users. In this article we propose complementary contributions relative to end-user generated interactive video, video tagging, and collaboration. In ...
     
Knowledge Adaptation with PartiallyShared Features for Event DetectionUsing Few Exemplars
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhigang Ma,Yi Yang,Nicu Sebe,Alexander G. Hauptmann
Issue Date:September 2014
pp. 1789-1802
Multimedia event detection (MED) is an emerging area of research. Previous work mainly focuses on simple event detection in sports and news videos, or abnormality detection in surveillance videos. In contrast, we focus on detecting more complicated and gen...
 
Large-Scale Geosocial Multimedia [Guest editorial]
Found in: IEEE MultiMedia
By Rongrong Ji,Yi Yang,Nicu Sebe,Kiyoharu Aizawa,Liangliang Cao
Issue Date:July 2014
pp. 7-9
With the advance of the Web 2.0 era came an explosive growth of geographical multimedia data shared on social network websites such as Flickr, YouTube, Facebook, and Zooomr. Location-aware media description, modeling, learning, and recommendation in pervas...
   
Complex Event Detection via Multi-source Video Attributes
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Zhigang Ma,Yi Yang,Zhongwen Xu,Shuicheng Yan,Nicu Sebe,Alexander G. Hauptmann
Issue Date:June 2013
pp. 2627-2633
Complex events essentially include human, scenes, objects and actions that can be summarized by visual attributes, so leveraging relevant attributes properly could be helpful for event detection. Many works have exploited attributes at image level for vari...
 
Decoding affect in videos employing the MEG brain signal
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Mojtaba Khomami Abadi,Mostafa Kia,Ramanathan Subramanian,Paolo Avesani,Nicu Sebe
Issue Date:April 2013
pp. 1-6
This paper presents characterization of affect (valence and arousal) using the Magnetoencephalogram (MEG) brain signal. We attempt single-trial classification of movie and music videos with MEG responses extracted from seven participants. The main findings...
   
Facial Expression Recognition: A Fully Integrated Approach
Found in: Image Analysis and Processing Workshops, International Conference of
By Roberto Valenti, Nicu Sebe, Theo Gevers
Issue Date:September 2007
pp. 125-130
No summary available.
 
Toward Improved Ranking Metrics
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Nicu Sebe, Michael S. Lew, Dionysius P. Huijsmans
Issue Date:October 2000
pp. 1132-1143
<p><b>Abstract</b>—In many computer vision algorithms, a metric or similarity measure is used to determine the distance between two features. The Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a m...
 
On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions
Found in: Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13)
By Jacopo Staiano, Ramanathan Subramanian, Nicu Sebe, Oswald Lanz, Yan Yan
Issue Date:December 2013
pp. 3-10
Correlates between social attention and personality traits have been widely acknowledged in social psychology studies. Head pose has commonly been employed as a proxy for determining the social attention direction in small group interactions. However, the ...
     
Time matters!: capturing variation in time in video using fisher kernels
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Negar Rostamzadeh, Nicu Sebe, Bogdan Ionescu, Ionut Mironica, Jasper Uijlings
Issue Date:October 2013
pp. 701-704
In video global features are often used for reasons of computational efficiency, where each global feature captures information of a single video frame. But frames in video change over time, so an important question is: how can we meaningfully aggregate fr...
     
GLocal structural feature selection with sparsity for multimedia data understanding
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Gaowen Liu, Zhigang Ma, Nicu Sebe, Yan Yan, Zhongwen Xu
Issue Date:October 2013
pp. 537-540
The selection of discriminative features is an important and effective technique for many multimedia tasks. Using irrelevant features in classification or clustering tasks could deteriorate the performance. Thus, designing efficient feature selection algor...
     
We are not equally negative: fine-grained labeling for multimedia event detection
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Alexander G. Hauptmann, Nicu Sebe, Zhongwen Xu, Yi Yang, Zhigang Ma
Issue Date:October 2013
pp. 293-302
Multimedia event detection (MED) is an effective technique for video indexing and retrieval. Current classifier training for MED treats the negative videos equally. However, many negative videos may resemble the positive videos in different degrees. Intuit...
     
Nobody likes Mondays: foreground detection and behavioral patterns analysis in complex urban scenes
Found in: Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream (ARTEMIS '13)
By Ashish Kapoor, Eric Horvitz, Gloria Zen, John Krumm, Nicu Sebe
Issue Date:October 2013
pp. 17-24
Streams of images from large numbers of surveillance webcams are available via the web. The continuous monitoring of activities at different locations provides a great opportunity for research on the use of vision systems for detecting actors, objects, and...
     
Friends don't lie: inferring personality traits from social network structure
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Alex Pentland, Bruno Lepri, Fabio Pianesi, Jacopo Staiano, Nadav Aharony, Nicu Sebe
Issue Date:September 2012
pp. 321-330
In this work, we investigate the relationships between social network structure and personality; we assess the performances of different subsets of structural network features, and in particular those concerned with ego-networks, in predicting the Big-5 pe...
     
UX_Mate: from facial expressions to UX evaluation
Found in: Proceedings of the Designing Interactive Systems Conference (DIS '12)
By Alberto Battocchi, Antonella De Angeli, Jacopo Staiano, María Menéndez, Nicu Sebe
Issue Date:June 2012
pp. 741-750
In this paper we propose and evaluate UX_Mate, a non-invasive system for the automatic assessment of User eXperience (UX). In addition, we contribute a novel database of annotated and synchronized videos of interactive behavior and facial expressions. UX_M...
     
Exploitation of time constraints for (sub-)event recognition
Found in: Proceedings of the 2011 joint ACM workshop on Modeling and representing events (J-MRE '11)
By Francesco G.B. De Natale, Jasper Uijlings, Nicu Sebe, Riccardo Mattivi
Issue Date:November 2011
pp. 7-12
The aim of this paper is threefold: (a) to introduce a dataset for the recognition of events and sub-events in photographs taken by common users; (b) to propose event-based classification to achieve a more accurate labeling of event-related photo collectio...
     
Exploiting the entire feature space with sparsity for automatic image annotation
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Feiping Nie, Jasper Uijlings, Nicu Sebe, Yi Yang, Zhigang Ma
Issue Date:November 2011
pp. 283-292
The explosive growth of digital images requires effective methods to manage these images. Among various existing methods, automatic image annotation has proved to be an important technique for image management tasks, e.g., image retrieval over large-scale ...
     
Can computers learn from humans to see better?: inferring scene semantics from viewers' eye movements
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Nicu Sebe, Ramanathan Subramanian, Victoria Yanulevskaya
Issue Date:November 2011
pp. 33-42
This paper describes an attempt to bridge the semantic gap between computer vision and scene understanding employing eye movements. Even as computer vision algorithms can efficiently detect scene objects, discovering semantic relationships between these ob...
     
Automatic modeling of personality states in small group interactions
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Bruno Lepri, Fabio Pianesi, Jacopo Staiano, Nicu Sebe, Ramanathan Subramanian
Issue Date:November 2011
pp. 989-992
In this paper, we target the automatic recognition of personality states in a meeting scenario employing visual and acoustic features. The social psychology literature has coined the name personality state to refer to a specific behavioral episode wherein ...
     
Please, tell me about yourself: automatic personality assessment using short self-presentations
Found in: Proceedings of the 13th international conference on multimodal interfaces (ICMI '11)
By Bruno Lepri, Fabio Pianesi, Ligia Maria Batrinca, Nadia Mana, Nicu Sebe
Issue Date:November 2011
pp. 255-262
Personality plays an important role in the way people manage the images they convey in self-presentations and employment interviews, trying to affect the other"s first impressions and increase effectiveness. This paper addresses the automatically detection...
     
Employing social gaze and speaking activity for automatic determination of the Extraversion trait
Found in: International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction (ICMI-MLMI '10)
By Bruno Lepri, Fabio Pianesi, Jacopo Staiano, Kyriaki Kalimeri, Nicu Sebe, Ramanathan Subramanian
Issue Date:November 2010
pp. 1-8
In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group mem...
     
Human-centered multimedia systems: tutorial overview
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Alejandro Jaimes, Hamid Aghajan, Nicu Sebe
Issue Date:October 2010
pp. 1785-1786
This tutorial will focus on technical analysis and interaction techniques formulated from the perspective of key human factors in a user-centered approach to developing multimedia systems. The tutorial will take a holistic view on the research issues and a...
     
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