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Searching an image in a huge set of images became an important task in several domains such as crime, medicine, geology and so on. The task of retrieving images by their visual contents is called content-based image retrieval (CBIR) systems. These systems have to be fast, efficient and semantically similar. For this aim, we used a new density clustering technique in our proposed CBIR system. The paper...
This paper proposes a saliency detection approach using multi-mapping based on global-local structural information. Firstly, a global-background-suppression(GBS) image and a Lab color space hybrid(CSH) image are obtained through different mapping rules. Secondly, both of them are segmented several times to produce multiple shape images. Thirdly, the above shape images are multiplied with GBS image...
Given object instances belonging to the same class, a novel topic model is proposes to learn the part-based object model by a semi-supervised manner. The proposed model, called segment-layout topic model, automatically partitions the instances into several subclasses, discovers the component segments in each instance as the possible parts, and learns the part-based model for each subclass. Unlike...
Visualization of goods package has become an important factor in communicating goods characteristics to consumers and plays a critical role in influencing consumers' purchase decision. This phenomenon is particularly apparent in the case of mature consumer goods such as perfume products, chocolate, daily commodity, and so on. To construct a design support model for assisting package designers to create...
We describe a technique for object detection that uses a combination of global shape descriptors and local point descriptors. Our system is able to represent pose using a global shape descriptor, rather than the commonly used part based representation. This approach considerably reduces computational complexity and achieves a significant performance improvement on an extensive dataset: CUB-200-2011...
With the increasing number of clinical interventions using needle shaped tools, robotic control of needle insertion procedures has been an active research field for many years. In this work we propose a 3D model of a flexible needle that takes into account tissue deformations in order to predict the needle shape and trajectory when it is inserted using a robotic arm. To account for tissue displacements,...
The view planning problem is the problem that involves finding suitable viewpoints for vision-related tasks such as inspection or reconstruction. In this paper, we propose a novel view planning algorithm for a camera-equipped Unmanned Aerial Vehicle (UAV) acquiring visual geometric information of target objects in its surrounding environment. The proposed model-based approach makes use of iterative...
Over the past decade, Content-Based Image Retrieval (CBIR) has been an active research approach to retrieve images based on their visual contents such as color, texture and shape. Image indexing is an important task to ensure the efficiency of CBIR systems. In this paper, we present a new stochastic clustering algorithm which allows automatic image indexing and quick neighbor search of similar images...
The human cochlea is responsible for transducing mechanical stimuli to electrical signals. However, there are aspects of cochlear physiology that are not clearly understood and computational modeling has been recently used for this purpose. The computational approaches are usually based on artificial cochlea geometries, which present the cochlea as a box model. In this work, we present a system for...
This paper describes the implementation of a twisting skill to a multi-DOF end effector for manipulating linear deformable objects (LDOs). When manipulating of LDOs such as rope knotting, an important factor is to control torsion. However, controlling torsion is difficult using only the robot arm movement because of the range limit of a manipulator and the danger of collision with the environment...
The presentation of spatiotemporal processes is a recurring theme in learning. Such processes are part of the standard curricula in subjects like geography, history, environmental education etc., as well as in professional learning tools like serious games. Learners face several difficulties in studying learning topics without strong spatiotemporal process visualization and explanation support. This...
Studies of inter-domain routing in the Internet have highlighted the complex and dynamic nature of connectivity changes that take place daily on a global scale. The ability to assess and identify normal, malicious, irregular and unexpected behaviors in routing update streams is important in daily network and security operations. In this paper we describe Bigfoot, a Border Gateway Protocol (BGP) update...
This research extends the Hierarchical Temporal Memory (HTM) algorithm and applies it to gait recognition. The gait sequence first is decomposed into temporal sub-sequences of spatial sub-regions. The sub-sequence are defined as the period of one step and half step, and the sub-regions are defined as the areas that correspond to body parts. Each sub-area will learn the temporal variation of the body...
In January 2016 the U.S. National Library of Medicine announced a challenge competition calling for the development and discovery of high-quality algorithms and software that rank how well consumer images of prescription pills match reference images of pills in its authoritative RxIMAGE collection. This challenge was motivated by the need to easily identify unknown prescription pills both by healthcare...
Sketching allows analysts to specify complex and free-form patterns of interest. Visual query systems can make use of sketches to locate these patterns of interest in large datasets. However, sketching is ambiguous: the same drawing could represent a multitude of potential queries. In this work, we investigate these ambiguities as they apply to visual query systems for time series data. We define...
This paper objective is to analyze LBP and CM for the comparative analysis in the field of content based image retrieval (CBIR). In this paper LBP and CM methods are used for the efficient retrieval of the images from the Wang database. All the 10 classes are used for the results comparison. LBP is used for better thresholding and CM is used with color dominant features for the efficient retrieval...
Most of the music players are often featured with music visualization that includes patterns such as splashes of colours and animated shapes which move to the rhythm of a song. This paper is presented an interactive theme-based design of music player using Processing. It is featured with interaction of music visualization that based on the music' s low-level features to correlate with the shapes colours,...
Many skin detection approaches have been proposed in the image analysis literature. Some are simple and static; the others are dynamic and rely on complex machine learning algorithms and training data. Generally the simple approaches are preferred. We hypothesize that the developers' choice for the simple approaches are due to the reasonable quality of results and ease of implementation, since the...
Figurai abstraction test was proven to be one of the best ways of measuring inteiiigence. Over the last year we have been working on a smartphone version of such a test which included adaptiveness. When the user is solving the test, the difficulty of the next exercise is determined by the previously answered questions, meaning if the majority of the answers were correct, the difficulty level is raised,...
This paper presents a new representation for handwritten math formulae: a Line-of-Sight (LOS) graph over handwritten strokes, computed using stroke convex hulls. Experimental results using the CROHME 2012 and 2014 datasets show that LOS graphs capture the visual structure of handwritten formulae better than commonly used graphs such as Time-series, Minimum Spanning Trees, and k-Nearest Neighbor graphs...
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