Ruxandra Tapu

Ruxandra Tapu
Institut Mines-Télécom | telecom-sudparis.eu · ARTEMIS: Advanced Research and Techniques for Multidimensional Imaging Systems

PhD

About

66
Publications
6,599
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1,146
Citations

Publications

Publications (66)
Article
In this paper, we introduce a subtitle synchronization and positioning system designed to increase the accessibility of deaf and hearing impaired people to multimedia documents. The main contributions of the paper concern: a novel synchronization algorithm able to robustly align, without any human intervention, the closed caption with the audio tra...
Article
Full-text available
Emotion is a form of high-level paralinguistic information that is intrinsically conveyed by human speech. Automatic speech emotion recognition is an essential challenge for various applications; including mental disease diagnosis; audio surveillance; human behavior understanding; e-learning and human–machine/robot interaction. In this paper, we in...
Chapter
In this paper we introduce a novel advertisement system, dedicated to multimedia documents broadcasted over the Internet. The proposed approach takes into account the consumer’s perspective and inserts contextual relevant ads at the level of the scenes boundaries, while reducing the degree of intrusiveness. From the methodological point of view, th...
Article
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In this paper, we introduce the DEEP-AD framework, a multimodal advertisement insertion system dedicated to online video platforms. The framework is designed from the viewer’s perspective, in terms of commercial contextual relevance and degree of intrusiveness. The main contribution of the paper concerns a novel multimodal temporal video segmentati...
Article
Full-text available
In this paper, we introduce the DEEP-HEAR framework, a multimodal dynamic subtitle positioning system designed to increase the accessibility of deaf and hearing impaired people (HIP) to multimedia documents. The proposed system exploits both computer vision algorithms and deep convolutional neural networks specifically designed and tuned in order t...
Article
Recent statistics of the World Health Organization (WHO), published in October 2017, estimate that more than 253 million people worldwide suffer from visual impairment (VI) with 36 million of blinds and 217 million people with low vision. In the last decade, there was a tremendous amount of work in developing wearable assistive devices dedicated to...
Article
In this paper, we introduce the DEEP-SEE FACE framework, an assistive device designed to improve cognition, interaction and communication of visually impaired (VI) people in social encounters. The proposed approach jointly exploits computer vision algorithms (region proposal networks, ATLAS tracking and global, low level image descriptors) and deep...
Conference Paper
The breathing rate (BR) is one of most important physiological parameter used for cardiopulmonary arrest prevention and for evaluating respiratory problems as (sleep) apnea, congestive heart, hypo / hyper –ventilation, asthma etc. In this paper, we propose an efficient method for non-contact estimation of BR using thermal imaging. The system is bas...
Conference Paper
In this paper we introduce a novel single object tracking method that extends the traditional GOTURN algorithm with a visual attention model. The proposed approach returns accurate object tracks and is able to handle sudden camera and background movement, long-term occlusions and multiple moving objects that can evolve simultaneously in a same neig...
Article
Full-text available
In this paper, we introduce the so-called DEEP-SEE framework that jointly exploits computer vision algorithms and deep convolutional neural networks (CNNs) to detect, track and recognize in real time objects encountered during navigation in the outdoor environment. A first feature concerns an object detection technique designed to localize both st...
Article
Full-text available
In this paper, we introduce a novel computer vision-based perception system, dedicated to the autonomous navigation of visually impaired people. A first feature concerns the real-time detection and recognition of obstacles and moving objects present in potentially cluttered urban scenes. To this purpose, a motion-based, real-time object detection a...
Article
Full-text available
In the most recent report published by theWorld Health Organization concerning people with visual disabilities it is highlighted that by the year 2020, worldwide, the number of completely blind people will reach 75 million, while the number of visually impaired (VI) people will rise to 250 million. Within this context, the development of dedicated...
Conference Paper
In this paper we propose a new method for automatic storyboard segmentation of TV news using image retrieval techniques and content manipulation. Our framework performs: shot boundary detection, global key-frame representation, image re-ranking based on neighborhood relations and temporal variance of image locations in order to construct a unimodal...
Conference Paper
In this paper we propose a navigation assistant for visually impaired people, which uses computer vision techniques and is integrated on a wearable device. The system makes it possible to detect and recognize, in real-time, both static and dynamic objects existent in outdoor urban scenes without any a priori knowledge about the obstruction type or...
Conference Paper
In this paper we propose a novel video retrieval approach based on relevant topics extraction from video subtitles using natural language processing strategies and movie temporal segmentation into scenes. The proposed method is able to identify various subjects existent in a subtitle document and deals with the polysemantic character of words. The...
Conference Paper
In this paper we introduce an assistive device dedicated to visual impaired / blind people completely integrated on a regular smartphone. The framework is designed to detect and localize static and dynamic obstacle during user navigation. We start by selecting a reduced and relevant set of FAST interest points based on a regular grid and Harris-Lap...
Article
In this paper we introduce a novel assistant for autonomous navigation of partially sighted people. The system, called ALICE, offers information about the location and possible directions a visual impaired user must follow in order to reach the desired destinations. The navigation is completed with a novel computer vision method that is able to det...
Article
Full-text available
In these paper we introduce a novel computer vision assistant for autonomous navigation of partially sighted people. We begin by detecting any type of static and dynamic obstacle present in the scene. Then, we introduce an adapted version of HOG (Histogram of Oriented Gradients) descriptor incorporated into the BoVW (Bag of Visual Words) retrieval...
Article
Full-text available
In this paper we introduce a novel framework for 3D object metamorphosis, represented by closed triangular meshes. The systems returns a high quality transition sequence, smooth and gradual, that is visual pleasant and consistent to both source and target topologies. The method starts by parameterizing both the source and the target model to a comm...
Article
For 3D stereoscopic videos the depth perception represents an important factor that affects the human visual attention much more than any motion or texture contrast existent in a traditional 2D videos. In this context, the present paper addressed the issue of stereoscopic visual attention models designed to detect salient objects in 3D videos. We p...
Article
In this paper we introduce a comprehensive survey of wearable systems designed to assist the visual impaired users navigation in everyday life outdoor scenarios. We focus on presenting the main advantages and limitations of each technique in effort to inform the scientific community about the progress in the area of assistive devices and also offer...
Conference Paper
In this paper we introduce a novel framework for detecting static/moving obstacles in order to assist visually impaired/blind persons to navigate safely. Firstly, a set of interest points is extracted base on an image grid and tracked using the multiscale Lucas - Kanade algorithm. Next, the camera/background motion is determined through a set of ho...
Conference Paper
In this paper we introduce a real-time obstacle detection and classification system designed to assist visually impaired people to navigate safely, in indoor and outdoor environments, by handling a smartphone device. We start by selecting a set of interest points extracted from an image grid and tracked using the multiscale Lucas - Kanade algorithm...
Conference Paper
In this paper we introduce a real-time obstacle recognition framework designed to alert the visually impaired people/blind of their presence and to assist humans to navigate safely, in indoor and outdoor environments, by handling a Smartphone device. Static and dynamic objects are detected using interest points selected based on an image grid and t...
Conference Paper
In this paper we tackle the issue of 3D mesh deformation when hard constraints of warping are imposed by user or application. First, we propose a review of the most salient methods existent in the technical literature. Then we retain for a more detailed analysis only some variants of Laplacian coordinates and Radial Basis Functions techniques that...
Conference Paper
In this paper we tackle the issue of video scene/DVD chapter segmentation. First, we introduce a review and analysis of the most salient methods existent in the technical literature. Then we propose a novel methodological framework for high level video temporal structuring and segmentation that extracts scenes/DVD chapters based on temporal constra...
Conference Paper
In this paper we propose a method for automatic detection of salient objects in video streams. The movie is firstly segmented into shots based on a scale space filtering graph partition method. Next, we introduced a combined spatial and temporal video attention model. The proposed approach combines a region-based contrast saliency measure with a no...
Chapter
This paper introduces a complete framework for temporal video segmentation. First, a computationally efficient shot extraction method is introduced, which adopts the normalized graph partition approach, enriched with a non-linear, multiresolution filtering of the similarity vectors involved. The shot boundary detection technique proposed yields hig...
Article
Full-text available
Recent advances in telecommunications, collaborated with the development of image and video processing and acquisition devices has lead to a spectacular growth of the amount of the visual content data stored, transmitted and exchanged over Internet. Within this context, elaborating efficient tools to access, browse and retrieve video content has be...
Conference Paper
In this paper we propose a complete framework for automatic detection and tracking of salient objects in video streams. The video flow is firstly segmented into shots based on scale space filtering graph partition method. For each detected shot the associated static summary is developed using a leap keyframe extraction method. Based on the represen...
Conference Paper
Full-text available
In this paper we propose a method for automatic structuring of video documents. The video is firstly segmented into shots based on a scale space filtering graph partition method. For each detected shot the associated static summary is developed using a leap key-frame extraction method. Based on the representative images obtained, we introduce next...
Conference Paper
Full-text available
In this paper we propose a novel and complete video scene segmentation framework, developed on different structural levels of analysis. Firstly, a shot boundary detection algorithm is introduced that extends the graph partition method with a nonlinear scale space filtering technique which increase the detection efficiency with gains of 7,4% to 9,8%...
Conference Paper
In this paper we propose a complete high level segmentation algorithm of video flows into scenes. In the first stage of our implementation we detected shot boundaries using an enhanced graph partition method based on non-linear scale space filtering at reduce computational time. In the second phase we develop static summaries for each detected shot...
Article
Full-text available
This paper introduces a complete framework for temporal video segmentation. First, a computationally efficient shot extraction method is introduced, which adopts the normalized graph partition approach, enriched with a non-linear, multiresolution filtering of the similarity vectors involved. The shot boundary detection technique proposed yields hig...
Conference Paper
In this paper we propose a novel and complete video structuring/ segmentation framework, which includes shot boundary detection, key-frame selection and high level clustering of shots into scenes. In a first stage, an enhanced shot boundary detection algorithm is proposed. The approach extends the state-of-the-art graph partition model and exploits...
Article
In this paper we introduce an enhanced graph partition model, more robust, used for video sequences temporal segmentation. In the first part we examine the formal framework of the shot boundary detection techniques implemented in the recent years, emphasizing the weakness and strength for each method. In the second phase we present our novel algori...
Article
Recent trends in computer graphics has lead to a spectacular grow of the amount of complex 3D objects stored and exchanged over the Internet. In this context accurate mesh decimations schemes are becoming more and more urgent due to the rendering speed reason and fast transmission. In this paper we present a complete evaluation of the mesh simplifi...
Article
In this paper we introduce a new 3D planar parameterization algorithm. After presenting a brief overview of the state of the art, we introduce a new barycentric mapping method, based on the edge length ratio preservation. Our proposed approach demonstrate higher performances with respect to all main techniques developed so far in this direction, re...
Article
In this paper we propose a complete high level segmentation algorithm of video flows into scenes. In the first phase we identify shot boundaries with an accuracy of more than 95% in recall and 90% in precision rates at reduced computational time. In a second stage, a storyboard is created by using a leap keyframe extraction method, at 27% faster ra...
Conference Paper
In this paper we proposed an enhanced graph partition shot detector. In order to increase the detection efficiency, we introduce a scale space filtering-based approach, which makes it possible to derive a relative change ratio measure, instead of an absolute one. Furthermore, in order to reduce the computational complexity, a two-pass analysis appr...
Article
Small satellites for earth observation are an important ongoing development in space research. Small satellites are usually powered from a solar energy system.In order to maximize the solar energy captured on small satellites, orbit path selection becomes an important parameter. In this work, we have conducted some numerical studies for future smal...
Article
In this paper we establish the contact resistance obtained after modeling and simulating a conductive adhesive with epoxy resin matrix and filler conductor particles with different shapes. The adhesion process is evaluated taking into consideration the environment protection. It is desired to interdict or reduce the use of plumb in the solder paste...
Article
This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. In order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been shifted from de...
Article
Recent developments in techniques for modeling, digitzing and visualizing 3D shapes has led to an explosion in the number of available 3D models on the Internet and often it is very difficult to work with them if the representation method is unknown. In this paper we review the most important 3D shape method representation such as boundary or solid...
Article
In this paper we propose to evaluate different possibilities to optimize the energetic consume of nanosatellites with the main purpose of rising their life time. Our researches were focused in maximizing the power generated by the solar panels of a nanosatellite by using a new material capable to profit of the entire surface of the solar spectrum a...

Projects

Project (1)
Archived project
Web based platform for quick and easy deployment of algorithms.