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In this paper we present an interactive tool that can be used to quantify fat infiltration in lumbar muscles, which is useful in studying fat infiltration and lower back pain (LBP) in adults. Currently, a qualitative assessment by visual grading via a 5-point scale is used to study fat infiltration in lumbar muscles from an axial view of lumbar-spine MR Images. However, a quantitative approach (on...
Part of 3DLife's major goal to bring the 3D media Internet to life, concerns the development and wide-spread distribution of online tele-immersive (TI) virtual environments. As the techniques powering challenging tasks for user reconstruction and activity tracking within a virtual environment are maturing, along with consumer-grade availability of specialized hardware, this paper focuses on the simple...
This article presents a system for texture based probabilistic classification and localization of 3D objects in 2D digital images and discusses selected applications.
In this paper we describe how content-based analysis techniques can be used to provide much greater functionality to the users of an interactive TV (iTV) device. We describe several content-based multimedia analysis techniques and how some of these can be exploited in the iTV domain, resulting in the provision of a set of powerful functions for iTV users. To validate our ideas, we introduce an iTV...
Variable block size (VBS) based motion estimation has been adapted in state of the art video coding, such as H.264/AVC, VC-1. However, a low complexity H.264/AVC encoder cannot take advantage of VBS due to its power consumption requirements. In this paper, we present a VBS partition algorithm based on a binary motion edge map without either initial motion estimation or rate-distortion (R-D)optimization...
One commonly used approach to scene localization and landmark recognition is to match an input image against a large annotated database of images using local image features. However problems exist with these approaches relating to memory constraints and the processing time required to compare high dimensional image feature vectors in a very large scale database. We investigate a new landmark classification...
This paper addresses a sub-problem of the broad annotation problem, namely "person annotation", associated with personal digital photo management and investigates approaches to enhancing person annotation in personal photo management applications. We study a number of approaches to enhance the performance of semi-automatic person annotation using real-life personal photo collections as the...
In professional tennis training matches, the coach needs to be able to view play from the most appropriate angle in order to monitor players activities. In this paper, we present a system which can adapt the operation of a series of cameras in order to maintain optimal system performance based on a set of wireless sensors. This setup is used as a testbed for an agent based intelligent middleware that...
In this paper, we introduce TennisSense, a technology platform for the digital capture, analysis and retrieval of tennis training and matches. Our algorithms for extracting useful metadata from the overhead court camera are described and evaluated. We track the tennis ball using motion images for ball candidate detection and then link ball candidates into locally linear tracks. From these tracks we...
In this paper we describe our work on creating a multimodal sensing platform for providing feedback to tennis coaches and players. The platform includes a fixed installation around a tennis court consisting of a video camera network and a localisation system as well as wearable sensing technology deployed to individual athletes. We describe the various components of this platform and explain how we...
H.264/AVC uses variable block size motion estimation (VBS-ME) to improve coding gain. However, its complexity is significant and fixed regardless of the required quality or of the scene characteristics. In this paper, we propose an adaptive complexity algorithm based on using the Walsh Hadamard transform (WHT). VBS automatic partition and skip mode detection algorithms also are proposed. Experimental...
The paper reports a new fast intra prediction algorithms based on separating the transformed coefficients of neighboring blocks. The prediction blocks are obtained from the transformed and quantized neighboring blocks that generate minimum distortion for each DC and AC coefficients. To obtain fast coding with comparable coding efficiency compared to H.264/AVC, we present the full block search prediction...
Segmentation algorithms traditionally employ low-level features to divide images into different regions that show a certain degree of homogeneity. However, low-level features, spatial or temporal, are not always reliable when processing real-world video sequences, because of issues like illuminations or complex backgrounds. Furthermore, real world objects can be composed of different regions with...
Background maintenance is a complex problem due to varying scene conditions. Typically, a single algorithm cannot handle the complex scene changes that occur in visual surveillance applications. Also complex background modelling techniques, for example mixture of Gaussians have a high computational and communication demand compared to simple techniques such as a uni-model background model or simple...
Reducing traffic congestion has become a major issue within urban environments. Traditional approaches, such as increasing road sizes, may prove impossible in certain scenarios, such as city centres, or ineffectual if current predictions of large growth in world traffic volumes hold true. An alternative approach lies with increasing the management efficiency of pre-existing infrastructure and public...
We describe in this paper a method for 3D shape indexing and retrieval that we apply on three data collections of the SHREC - SHape Retrieval Contest 2008: Stability on watertight, CAD and Generic 3D models. The method is based on a set of 2D multi-views after a pose and scale normalization of the models using Continuous PCA and the enclosing sphere. In all views we extract the models silhouettes...
Summary form only given. COST is one of the longest-running instruments funded by the EU RTD Framework Program. The members of the COST 292 action (see: http://www.cost292.org/) have a long tradition of involvement in WIAMIS, dating back to the establishment of this event. Since 2005, the action has been invited to organize a special session and this tradition was continued for WIAMIS 2008. This year,...
We describe an approach to identifying specific settings in large collections of photographs corresponding to a visual diary. An algorithm developed for setting detection should be capable of clustering images captured at the same real world locations (e.g. in the dining room at home, in front of the computer in the office, in the park, etc.). This requires the selection and implementation of suitable...
As the proliferation of digital photography increases, the software used to manage our increasingly large collections of digital photos becomes ever more important. In this paper we present the findings of a study which investigates how people view and interact with a set of photo management features. Specifically, a group of users are set the task of managing their own photos using a system built...
This paper proposes a method for unsupervised selection of features for detecting important events in a surveillance context. While traditional feature selection requires manually annotated ground truth to choose the best features, we examine the possibility of exploiting the redundancy between a pair of independent data sources for selecting good detection features. Building on our prior work on...
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