In this paper we examine an important example of where a decision designed to improve security has quite the opposite effect due to the longevity of the decision's side effects. The primary example we use to illustrate our point is the deliberate obfuscation and alteration of satellite imagery available online, in an attempt to deprive attackers of sensitive information about certain installations. We will demonstrate that such image modification techniques are short sighted and counterproductive: better security would have been provided if the concerned parties had simply done nothing. This result illustrates the importance of examining security decisions from a temporal perspective, accounting for inevitable progression of technology. Furthermore, we believe this paper illustrates an oft overlooked class of security problems that present non-reversible challenges to the defender long after the questionable security decision has been reversed.

In applied sciences there is a tendency to rely on terminology that is either ill-defined or applied inconsistently across areas of research and application domains. Examples in information assurance include the terms resilience, robustness and survivability, where there exists subtle shades of meaning between researchers. These nuances can result in confusion and misinterpretations of goals and results, hampering communication and complicating collaboration. In this paper, we propose security-related definitions for these terms. Using this terminology, we argue that research in these areas must consider the functionality of the system holistically, beginning with a careful examination of what we actually want the system to do. We note that much of the published research focuses on a single aspect of a system -- availability -- as opposed to the system's ability to complete its function without disclosing confidential information or, to a lesser extent, with the correct output. Finally, we discuss ways in which researchers can explore resilience with respect to integrity, availability and confidentiality.

Methods of retrieving images that incorporate human- generated metadata, such as keyword annotation and collaborative filtering, are less vulnerable to the semantic gap than content-based image retrieval. However, generating such metadata is time-consuming, expensive, and difficult to evaluate. This paper discusses an interface for image retrieval that is able to simultaneously compose queries based on content- based features, keywords, and collaborative relations. We propose using a game metaphor to evaluate the system.

This paper explores the challenges opportunities in developing and deploying 3D TV services. The 3D TV services can be seen as a general case of the multi-view video that has been receiving significant attention lately. The keys to a successful 3D TV experience are the availability of content, the ease of use, the quality of experience, and the cost of deployment. Recent technological advances have made possible experimental systems that can be used to evaluate the 3D TV services. We have developed a 3D TV prototype and have currently conducting our first user study to evaluate the quality and experience. These experiences have allowed us to identify challenges and opportunities in developing 3D TV services

Content-based image retrieval (CBIR) systems have been actively investigated over the past decade. Several existing CBIR prototypes claim to be designed based on perceptual characteristics of the human visual system, but even those who do are far from recognizing that they could benefit further by incorporating ongoing research in vision science. This paper explores the inclusion of human visual perception knowledge into the design and implementation of CBIR systems. Particularly, it addresses the latest developments in computational modeling of human visual attention. This fresh way of revisiting concepts in CBIR based on the latest findings and open questions in vision science research has the potential to overcome some of the challenges faced by CBIR systems

This demonstration highlights the benefits that image retrieval systems can enjoy by use of a thoughtful interface. We present a live demonstration of PRISM, a new Web-based application that, through a simple set of natural actions, allows the user the ability to elicit sophisticated responses from easily-formed queries. Additionally, the system was designed with not only content-based, but also content-free image retrieval and semantic annotation in mind. The demonstration system uses an attention-based method for extracting and determining the relevance of salient regions of interest in an unsupervised way, but can be adapted to a variety of implementations

We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual contents of other (less relevant) parts of the image. In the implemented model cluster membership is assigned based on feature vectors extracted from salient ROIs. This paper focuses on the experimental evaluation of the proposed approach for several combinations of feature extraction techniques and unsupervised clustering algorithms. The results reported here show that this is a valid approach and encourage further research.

There is a renewed interest in the 3DTV research primarily due to the advances in low cost 3D display technologies. The two views required for 3DTV can be compressed using standard video compression techniques. MPEG-2 is widely used in digital TV applications today and H.264/MPEG-4 AVC is expected to be the leading video technology standard for digital video in the near future. The compression gains and quality of 3DTV will vary depending on the video coding standard used. While inter-view prediction will likely improve the compression efficiency, new approaches such as asymmetric view coding are necessary to greatly reduce bandwidth requirements for 3DTV. This demonstration will show the quality of 3D video experience on autostereoscopic displays using H.264 and MPEG-2. We will also show the benefits of using asymmetric view coding as well as the role of eye dominance on 3DTV experience.

Recent advances in video compression and 3D displays have necessitated a further understanding and development of 3D video coding algorithms. The emergence of low cost autostereoscopic displays is expected to drive the growth of 3DTV services. This paper discusses key issues that affect the quality of 3D video experience on autostereoscopic displays. The characteristics of the human visual system can be exploited to compress individual stereo views at different qualities without affecting the perceptual quality of the 3D video. The H.264/AVC video coding algorithm was used to compress each view. We examine the bounds of asymmetric stereo view compression and its relationship to eye-dominance based on a user study. This paper also presents the design and development of a modular video player with stereoscopic and multi-view capabilities including a discussion of useful tools for accelerating the development and enhancing flexibility. The experimental results indicate that eye-dominance influences 3D perception and as a result will impact the coding efficiency of 3D video.