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We use visualization to investigate the Higgs Interaction in the Standard Model and Beyond the Standard Model Physics. The Higgs discovery at the Large Hadron Collider has allowed for a precise determination of the Higgs Potential. We visualize this potential and the Higgs interactions with the fermions of the Standard Model as well as beyond standard model such as interactions with Dark matter and...
In this paper, we propose a new local descriptor for action recognition in depth images. Our proposed descriptor jointly encodes the shape and motion cues using surface normals in 4D space of depth, time, spatial coordinates and higher-order partial derivatives of depth values along spatial coordinates. In a traditional Bag-of-words (BoW) approach, local descriptors extracted from a depth sequence...
The purpose of this study is to create a software system to facilitate the organization of and searching for social images acquired from social sites on the Web (such as Facebook or Flikr), taking into account the images' features as well as user preferences. To achieve our goal, we design a solution based on image clustering, grouping together images sharing similar semantic and visual features,...
Traditional methods for image retrieval used metadata associated with images, commonly known as keywords. These methods empowered many World Wide Web (WWW) search engines and achieved reasonable amount of accuracy. A data base shape, color, texture of content based image retrieval (CBIR) and classification algorithm is based on the K-means clustering is proposed in this paper. The algorithm is found...
In this paper, we tackle the problem of embedding logos into QR codes. For the ease of visual comprehension by human, it is preferred that the logo should be big, if possible. A logo-embedding scheme, which is referred to as module displacement, is proposed. In module displacement, the data modules that are corrupted by the logo are moved to hide behind those modules that are not corrupted by the...
Narrative games may offer reasoning on players' behavior or make-believe on players' personation as a pursuit to achieve specific goals. One of the goals is probably the intention to instill learning, which subconsciously provide information on the content of the game. However, there is lack of empirical evidence on game aesthetics for player's perceived learning. By means of expert review, this article...
We present a novel model to represent and match contour lines of closed shapes. This model is based on the mechanism of visual cortex. It extracts orientation features from input images with simple computation units that imitate simple cells in the visual cortex. The contour lines are accurately located by searching adjacent activated simple units. These activated simple units are concatenated in...
Cartridge fuse is widely used in many kinds of electronic circuits and plays an important role in various applications. Compared with traditional inspection method for character sign on cartridge fuse manually, on-line machine vision inspection method has tremendous superiority. Therefore an automatic visual inspection method based on template matching is proposed in this paper. The method is as follows:...
In a high-dimensional objective space, visualization of population in an approximate Pareto front is crucial to decision making process. By directly observing the performance of each solution, the trade-off between objectives, and distribution of approximate front, the decision maker can effectively decide which solution should be chosen from. Furthermore, visualization throughout the evolution process...
Due to the rapid increase of different digitized documents, the development of a system to automatically retrieve document images from a large collection of structured and unstructured document images is in high demand. Many techniques have been developed to provide an efficient and effective way for retrieving and organizing these document images in the literature. This paper provides an overview...
In order to overcome cloud clutters and varied sizes of objects in high-resolution optical satellite images, a novel coarse-to-fine ship detection framework is proposed. Initially, a modified saliency fusion algorithm is derived to reduce cloud clutters and extract ship candidates. Then, in coarse discrimination stage, candidates are described by introducing shape feature to eliminate regions which...
Assessing the user behaviour is essential for adaptive multimodal dialogues in human computer interaction (HCI). However, in recent research, the vast range of possibly interacting parameters make it difficult to examine the influence of individual factors such as previous experience on user behaviour. In this paper we apply a new experimental setup, which enables independent examination of a large...
Web 2.0 has witnessed increased focus on more user generated content and eventually on data analyzed and queried in meaningful ways. Selfies, a new form of user-generated content, have become an important part of the visual communication in social media. A large portion of images posted on some social networks are selfies. Behind each of these selfies lie the sentiments of the person in the photo...
The dead-reckoning techniques such as visual and wheel odometry for Rover localization is proved to be effective on short to medium-range traverses. However the accumulated error would lead to a degraded performance in a long range travel. In this paper, a global localization algorithm is proposed to deal with the long-range rover localization in lunar/planetary environment. This algorithm is designed...
We study the impact of depth-based visual features in systems for visual and audio-visual speech recognition. Instead of reconstruction from multiple views, the depth maps are obtained by the Kinect sensor, which is better suited for real world applications. We extract several types of visual features from video and depth channels and evaluate their performance both individually and in cross-channel...
In open-ended domains, autonomous robots must have the ability to continuously process visual information, and execute learning and recognition in a concurrent and interleaved fashion. Because the set of categories to be learned is not predefined, it is not feasible to assume that one can pre-program all object categories required by service robots. Topic modelling approaches usually construct the...
The analytical models for optical imaging of internal structure of controlled objects with complex shape were considered and, on their basis, the distortions, appearing in the image depending on visualization system's parameters and emitting source type, were analyzed.
How can we use information visualization to support retrospective, exploratory analysis of collections of histories for patients admitted to acute care? This paper describes a novel design for visual cohort identification and exploration. We have developed a tool that integrates multiple, heterogeneous clinical data sources and allows alignment, querying and abstraction in a common workbench.
We designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks.
Engineering of the compiled software is an important task in software engineering. One of the stages of the engineering technologies is a construction and analysis of a control flow graphs, which reflect a general structure of algorithms. The paper presents a technique for analyzing and visualizing the control flow graph of a compiled software. The analysis is based on semantically equivalent transformations...
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