@conference {14193,
	title = {Active segmentation for robotics},
	booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009},
	year = {2009},
	month = {2009/10/10/15},
	pages = {3133 - 3139},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The semantic robots of the immediate future are robots that will be able to find and recognize objects in any environment. They need the capability of segmenting objects in their visual field. In this paper, we propose a novel approach to segmentation based on the operation of fixation by an active observer. Our approach is different from current approaches: while existing works attempt to segment the whole scene at once into many areas, we segment only one image region, specifically the one containing the fixation point. Furthermore, our solution integrates monocular cues (color, texture) with binocular cues (stereo disparities and optical flow). Experiments with real imagery collected by our active robot and from the known databases demonstrate the promise of the approach.},
	keywords = {binocular cues, image colour analysis, Image segmentation, Image texture, Intelligent robots, Layout, Machine vision, monocular cues, Navigation, optical flow, Orbital robotics, Robot sensing systems, robot vision, Robot vision systems, robotics active segmentation, Robotics and automation, semantic robot, Simultaneous localization and mapping, stereo disparity, stereo image processing},
	isbn = {978-1-4244-3803-7},
	doi = {10.1109/IROS.2009.5354325},
	author = {Mishra,A. and Aloimonos, J. and Ferm{\"u}ller, Cornelia}
}
@conference {14207,
	title = {Combining motion from texture and lines for visual navigation},
	booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007. IROS 2007},
	year = {2007},
	month = {2007/11/29/Oct. },
	pages = {232 - 239},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Two novel methods for computing 3D structure information from video for a piecewise planar scene are presented. The first method is based on a new line constraint, which clearly separates the estimation of distance from the estimation of slant. The second method exploits the concepts of phase correlation to compute from the change of image frequencies of a textured plane, distance and slant information. The two different estimates together with structure estimates from classical image motion are combined and integrated over time using an extended Kalman filter. The estimation of the scene structure is demonstrated experimentally in a motion control algorithm that allows the robot to move along a corridor. We demonstrate the efficacy of each individual method and their combination and show that the method allows for visual navigation in textured as well as un-textured environments.},
	keywords = {3D structure information, CAMERAS, Computer vision, extended Kalman filter, Frequency, image frequencies, Image motion analysis, Image texture, Kalman filters, Layout, motion control, Motion estimation, Navigation, Optical computing, phase correlation, piecewise planar scene, Robustness, Simultaneous localization and mapping, Speech processing, textured plane, video signal processing, visual navigation},
	isbn = {978-1-4244-0912-9},
	doi = {10.1109/IROS.2007.4399568},
	author = {Bitsakos,K. and Li Yi and Ferm{\"u}ller, Cornelia}
}
@article {16983,
	title = {Balancing Systematic and Flexible Exploration of Social Networks},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {12},
	year = {2006},
	month = {2006/10//Sept},
	pages = {693 - 700},
	abstract = {Social network analysis (SNA) has emerged as a powerful method for understanding the importance of relationships in networks. However, interactive exploration of networks is currently challenging because: (1) it is difficult to find patterns and comprehend the structure of networks with many nodes and links, and (2) current systems are often a medley of statistical methods and overwhelming visual output which leaves many analysts uncertain about how to explore in an orderly manner. This results in exploration that is largely opportunistic. Our contributions are techniques to help structural analysts understand social networks more effectively. We present SocialAction, a system that uses attribute ranking and coordinated views to help users systematically examine numerous SNA measures. Users can (1) flexibly iterate through visualizations of measures to gain an overview, filter nodes, and find outliers, (2) aggregate networks using link structure, find cohesive subgroups, and focus on communities of interest, and (3) untangle networks by viewing different link types separately, or find patterns across different link types using a matrix overview. For each operation, a stable node layout is maintained in the network visualization so users can make comparisons. SocialAction offers analysts a strategy beyond opportunism, as it provides systematic, yet flexible, techniques for exploring social networks},
	keywords = {Aggregates, algorithms, attribute ranking, Cluster Analysis, Computer Graphics, Computer simulation, Coordinate measuring machines, coordinated views, Data analysis, data visualisation, Data visualization, exploratory data analysis, Filters, Gain measurement, graph theory, Graphical user interfaces, Information Storage and Retrieval, interactive graph visualization, matrix algebra, matrix overview, Models, Biological, Navigation, network visualization, Pattern analysis, Population Dynamics, Social Behavior, social network analysis, Social network services, social networks, social sciences computing, Social Support, SocialAction, software, statistical analysis, statistical methods, User-Computer Interface},
	isbn = {1077-2626},
	doi = {10.1109/TVCG.2006.122},
	author = {Perer,A. and Shneiderman, Ben}
}
@conference {11897,
	title = {Identifying and segmenting human-motion for mobile robot navigation using alignment errors},
	booktitle = {12th International Conference on Advanced Robotics, 2005. ICAR {\textquoteright}05. Proceedings},
	year = {2005},
	month = {2005/07//},
	pages = {398 - 403},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {This paper presents a new human-motion identification and segmentation algorithm, for mobile robot platforms. The algorithm is based on computing the alignment error between pairs of object images acquired from a moving platform. Pairs of images generating relatively small alignment errors are used to estimate the fundamental frequency of the object{\textquoteright}s motion. A decision criterion is then used to test the significance of the estimated frequency and to classify the object{\textquoteright}s motion. To verify the validity of the proposed approach, experimental results are shown on different classes of objects},
	keywords = {Computer errors, Educational institutions, Frequency estimation, human-motion identification, human-motion segmentation, HUMANS, Image motion analysis, Image segmentation, mobile robot navigation, Mobile robots, Motion estimation, Navigation, Object detection, robot vision, SHAPE},
	isbn = {0-7803-9178-0},
	doi = {10.1109/ICAR.2005.1507441},
	author = {Abd-Almageed, Wael and Burns,B. J and Davis, Larry S.}
}
@article {17258,
	title = {Interactive sonification of choropleth maps},
	journal = {IEEE Multimedia},
	volume = {12},
	year = {2005},
	month = {2005/06//April},
	pages = {26 - 35},
	abstract = {Auditory information is an important channel for the visually impaired. Effective sonification (the use of non-speech audio to convey information) promotes equal working opportunities for people with vision impairments by helping them explore data collections for problem solving and decision making. Interactive sonification systems can make georeferenced data accessible to people with vision impairments. The authors compare methods for using sound to encode georeferenced data patterns and for navigating maps.},
	keywords = {audio signal processing, audio user interfaces, Auditory (non-speech) feedback, auditory information, cartography, choropleth maps, data collections, decision making, Evaluation, Feedback, georeferenced data, Guidelines, handicapped aids, Hardware, HUMANS, information resources, interaction style, Interactive sonification, interactive systems, Navigation, nonspeech audio, problem solving, Problem-solving, sound, universal usability, US Government, User interfaces, vision impairments, World Wide Web},
	isbn = {1070-986X},
	doi = {10.1109/MMUL.2005.28},
	author = {Zhao,Haixia and Smith,B. K and Norman,K. and Plaisant, Catherine and Shneiderman, Ben}
}
@conference {17878,
	title = {Improving access to multi-dimensional self-describing scientific datasets},
	booktitle = {3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003},
	year = {2003},
	month = {2003/05/12/15},
	pages = {172 - 179},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Applications that query into very large multidimensional datasets are becoming more common. Many self-describing scientific data file formats have also emerged, which have structural metadata to help navigate the multi-dimensional arrays that are stored in the files. The files may also contain application-specific semantic metadata. In this paper, we discuss efficient methods for performing searches for subsets of multi-dimensional data objects, using semantic information to build multidimensional indexes, and group data items into properly sized chunks to maximize disk I/O bandwidth. This work is the first step in the design and implementation of a generic indexing library that will work with various high-dimension scientific data file formats containing semantic information about the stored data. To validate the approach, we have implemented indexing structures for NASA remote sensing data stored in the HDF format with a specific schema (HDF-EOS), and show the performance improvements that are gained from indexing the datasets, compared to using the existing HDF library for accessing the data.},
	keywords = {Application software, application-specific semantic metadata, Bandwidth, Computer science, database indexing, disk I/O bandwidth, distributed databases, Educational institutions, Indexing, indexing structures, Libraries, meta data, Middleware, multidimensional arrays, multidimensional datasets, Multidimensional systems, NASA, NASA remote sensing data, Navigation, query formulation, self-describing scientific data file formats, structural metadata, very large databases},
	isbn = {0-7695-1919-9},
	doi = {10.1109/CCGRID.2003.1199366},
	author = {Nam,B. and Sussman, Alan}
}
@article {17508,
	title = {Why not make interfaces better than 3D reality?},
	journal = {IEEE Computer Graphics and Applications},
	volume = {23},
	year = {2003},
	month = {2003/12//Nov},
	pages = {12 - 15},
	abstract = {Many constrained interfaces are designed to be simpler than the real world by restricting movement, limiting interface actions, and keeping interface objects in a plane. However, the strong utility of pure 3D interfaces for medical, architectural, product design, and scientific visualization means that interface design for pure 3D remains an important challenge. An intriguing possibility is that enhanced 3D interfaces might offer simpler navigation, more compelling functionality, safer movements, and less occlusion, than 3D reality, especially for information exploration and visualization tasks. Such features can enable superhuman capabilities such as faster-than-light teleportation, flying through objects, and X-ray vision. Enhanced 3D interfaces might have supernatural tools such as magic wands for instantly shrinking, enlarging, duplicating, or sending objects and enchanted environments that provide error prevention, history keeping, and programming-by-demonstration. Playful game designers and creative application developers have already pushed the technology further than those who seek merely to mimic reality. Advanced designs are marked by their support of rapid situation awareness through effective overviews, reduced numbers of actions to accomplish tasks; and prompt, meaningful feedback for user actions. This article reviews these clever enhanced 3D-design features and encourages approaches that facilitate user tasks rather than mimic reality.},
	keywords = {3D interfaces, 3D reality, Atmosphere, Avatars, Cities and towns, Collaboration, Computer displays, Computer Graphics, error prevention, history keeping, information exploration, Information Visualization, movements, Navigation, occlusion, overviews, programming-by-demonstration, rapid situation awareness, Testing, usability, user action feedback, User interfaces, Virtual reality, Visualization},
	isbn = {0272-1716},
	doi = {10.1109/MCG.2003.1242376},
	author = {Shneiderman, Ben}
}
@conference {17227,
	title = {Improving Web-based civic information access: a case study of the 50 US states},
	booktitle = {2002 International Symposium on Technology and Society, 2002. (ISTAS{\textquoteright}02)},
	year = {2002},
	month = {2002///},
	pages = {275 - 282},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {An analysis of the home pages of all fifty US states reveals great variety in key design features that influence efficacy. Some states had excessively large byte counts that would slow users connected by commonly-used 56 K modems. Many web sites had low numbers of or poorly organized links that would make it hard for citizens to find what they were interested in. Features such as search boxes, privacy policies, online help, or contact information need to be added by several states. Our analysis concludes with ten recommendations and finds many further opportunities for individual states to improve their Websites. However still greater benefits will come through collaboration among the states that would lead to consistency, appropriate tagging, and common tools.},
	keywords = {Computer aided software engineering, Computer science, contact information, Educational institutions, government data processing, Guidelines, home page design features, information resources, Laboratories, Modems, Navigation, online help, privacy, privacy policies, search boxes, Tagging, Uniform resource locators, US states, USA, User interfaces, Web sites, Web-based civic information access},
	isbn = {0-7803-7284-0},
	doi = {10.1109/ISTAS.2002.1013826},
	author = {Ceaparu,I. and Shneiderman, Ben}
}
@article {12060,
	title = {Visual space-time geometry - A tool for perception and the imagination},
	journal = {Proceedings of the IEEE},
	volume = {90},
	year = {2002},
	month = {2002/07//},
	pages = {1113 - 1135},
	abstract = {Although the fundamental ideas underlying research efforts in the field of computer vision have not radically changed in the past two decades, there has been a transformation in the way work in this field is conducted. This is primarily due to the emergence of a number of tools, of both a practical and a theoretical nature. One such tool, celebrated throughout the nineties, is the geometry of visual space-time. It is known under a variety of headings, such as multiple view geometry, structure from motion, and model building. It is a mathematical theory relating multiple views (images) of a scene taken at different viewpoints to three-dimensional models of the (possibly dynamic) scene. This mathematical theory gave rise to algorithms that take as input images (or video) and provide as output a model of the scene. Such algorithms are one of the biggest successes of the field and they have many applications in other disciplines, such as graphics (image-based rendering, motion capture) and robotics (navigation). One of the difficulties, however is that the current tools cannot yet be fully automated, and they do not provide very accurate results. More research is required for automation and high precision. During the past few years we have investigated a number of basic questions underlying the structure from motion problem. Our investigations resulted in a small number of principles that characterize the problem. These principles, which give rise to automatic procedures and point to new avenues for studying the next level of the structure from motion problem, are the subject of this paper.},
	keywords = {3-D motion estimation, Buildings, Computer vision, Geometry, Graphics, Image sequences, Layout, Mathematical model, mathematical theory, model building, Motion estimation, multiple view geometry, multiple views, Navigation, optical flow, optical illusions, patch correspondence, Rendering (computer graphics), Robotics and automation, Solid modeling, structure from motion, three-dimensional models, visual space-time},
	isbn = {0018-9219},
	doi = {10.1109/JPROC.2002.801440},
	author = {Ferm{\"u}ller, Cornelia and Baker, P. and Aloimonos, J.}
}
@conference {12197,
	title = {Domain name based visualization of Web histories in a zoomable user interface},
	booktitle = {11th International Workshop on Database and Expert Systems Applications, 2000. Proceedings},
	year = {2000},
	month = {2000///},
	pages = {591 - 598},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Users of hypertext systems like the World Wide Web (WWW) often find themselves following hypertext links deeper and deeper, only to find themselves {\textquotedblleft}lost{\textquotedblright} and unable to find their way back to the previously visited pages. We have implemented a Web browser companion called Domain Tree Browser (DTB) that builds a tree structured visual navigation history while browsing the Web. The Domain Tree Browser organizes the URLs visited based on the domain name of each URL and shows thumbnails of each page in a zoomable window},
	keywords = {Computer science, data visualisation, domain name, domain name based visualization, Domain Tree Browser, Educational institutions, History, hypermedia, hypertext links, hypertext systems, information resources, Navigation, online front-ends, thumbnails, Tree graphs, tree structured visual navigation history, Uniform resource locators, URLs, User interfaces, Visualization, Web browser companion, Web histories, Web pages, World Wide Web, zoomable user interface, zoomable window},
	isbn = {0-7695-0680-1},
	doi = {10.1109/DEXA.2000.875085},
	author = {Gandhi,R. and Kumar,G. and Bederson, Benjamin B. and Shneiderman, Ben}
}
@conference {12033,
	title = {3D motion representations in visual servo control},
	booktitle = {Proceedings of International Symposium on Computer Vision, 1995},
	year = {1995},
	month = {1995/11/21/23},
	pages = {61 - 66},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {A new approach to visual servoing and vision-guided robotics is introduced. This approach uses visual information for autonomous behavior. It amounts to using robust, global spatiotemporal representations easily extracted from the dynamic imagery. Specifically, the geometrical patterns of normal flows are used as the input to the servo mechanism. It is shown that the positions of these patterns are related to the three dimensional motion parameters. By locating the positions of these patterns, we can solve a variety of navigational problems with little computational effort},
	keywords = {3D motion representations, autonomous behavior, CAMERAS, computational effort, Computer vision, dynamic imagery, global spatiotemporal representations, image representation, Mobile robots, motion control, Navigation, navigational problems, Optical computing, Robot kinematics, Robot sensing systems, robot vision, Robot vision systems, Robotics and automation, servomechanisms, Servosystems, Spatiotemporal phenomena, vision-guided robotics, visual information, visual servo control, visual servoing},
	isbn = {0-8186-7190-4},
	doi = {10.1109/ISCV.1995.476978},
	author = {Ferm{\"u}ller, Cornelia and LoongFah Cheong and Aloimonos, J.}
}
@article {16740,
	title = {ADMS: a testbed for incremental access methods},
	journal = {IEEE Transactions on Knowledge and Data Engineering},
	volume = {5},
	year = {1993},
	month = {1993/10//},
	pages = {762 - 774},
	abstract = {ADMS is an advanced database management system developed-to experiment with incremental access methods for large and distributed databases. It has been developed over the past eight years at the University of Maryland. The paper provides an overview of ADMS, and describes its capabilities and the performance attained by its incremental access methods. This paper also describes an enhanced client-server architecture that allows an incremental gateway access to multiple heterogeneous commercial database management systems},
	keywords = {Add-drop multiplexers, ADMS, advanced database management system, client-server architecture, commercial database management systems, Computational modeling, Database systems, distributed databases, heterogeneous DBMS, incremental access methods, incremental gateway, Information retrieval, interoperability, join index, large databases, Navigation, network operating systems, Object oriented databases, Object oriented modeling, Query processing, System testing, very large databases, view index, Workstations},
	isbn = {1041-4347},
	doi = {10.1109/69.243508},
	author = {Roussopoulos, Nick and Economou,N. and Stamenas,A.}
}
@conference {11960,
	title = {Purposive and qualitative active vision},
	booktitle = {Proceedings of 10th International Conference on Pattern Recognition, 1990},
	volume = {i},
	year = {1990},
	month = {1990/06/16/21},
	pages = {346-360 vol.1 - 346-360 vol.1},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The traditional view of the problem of computer vision as a recovery problem is questioned, and the paradigm of purposive-qualitative vision is offered as an alternative. This paradigm considers vision as a general recognition problem (recognition of objects, patterns or situations). To demonstrate the usefulness of the framework, the design of the Medusa of CVL is described. It is noted that this machine can perform complex visual tasks without reconstructing the world. If it is provided with intentions, knowledge of the environment, and planning capabilities, it can perform highly sophisticated navigational tasks. It is explained why the traditional structure from motion problem cannot be solved in some cases and why there is reason to be pessimistic about the optimal performance of a structure from motion module. New directions for future research on this problem in the recovery paradigm, e.g., research on stability or robustness, are suggested},
	keywords = {active vision, Automation, brain models, complex visual tasks, Computer vision, environmental knowledge, highly sophisticated navigational tasks, HUMANS, Image reconstruction, intentions, Kinetic theory, Laboratories, Medusa, Motion analysis, Navigation, planning, planning (artificial intelligence), purposive-qualitative vision, recovery problem, Robust stability, Robustness, SHAPE, stability},
	isbn = {0-8186-2062-5},
	doi = {10.1109/ICPR.1990.118128},
	author = {Aloimonos, J.}
}
