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The authors have been working on support of coastal fishing utilizing ICT since 2004. We have realized two visualizations for the sustainable fishery until now. One is visualization of resources for capture fishing using digital diary and the other is visualization of environment for culture fishing using small buoys. In this paper, we propose the visualization of technology for octopus drift fishing...
Underwater obstacle detection is essential for safe deployment of autonomous underwater vehicles (AUVs). In this paper, we make an attempt to explore one kind of underwater obstacle detection strategy with the help of the Relative Total Variation(RTV) and Joint Guided Filtering(JGF). We first introduce one kind of virtual retinex model. Then we utilize the Relative Total Variation to extract the essential...
Films seek to elicit emotions in viewers by infusing the story they tell with an affective character or tone - in a word, a mood. In content-based multimedia analysis, considerable effort has been made to develop methods to estimate film affect computationally. However, results have been hampered by a tendency to classify film scenes either by genre or not at all, while other potentially helpful classification...
SIFT flow adopts SIFT descriptor to find correspondence between two images. However, SIFT flow is not robust to scale and rotation for dense corresponding matching. In this paper, we propose moment-based dense correspondence matching which is robust to image variation. First, we apply Zernike moments to SIFT descriptor, i.e. Moments of Gradients (MoG). Then, we combine SIFT flow with MoG for dense...
The attention function has been classified into (i) sustained attention, (ii) selective attention, (iii) controlled attention, (iv) distributed attention, and (v) capacity for attention. Ordinarily, in order to evaluate the function of attention, the digital cancellation test (D-CAT) or trail making test (TMT) are employed. However, these evaluations are in the form of paper tests, and cannot effectively...
Object deformation and occlusion are ubiquitous problems for visual tracking. Though many efforts have been made to handle object deformation and occlusion, most existing tracking algorithms fail in case of large deformation and severe occlusion. In this paper, we propose a graph learning-based tracking framework to handle both challenges. For each consecutive frame pair, we construct a weighted graph,...
In this work we discuss an efficient strategy for reducing the negative impact of non-uniform illumination to panoramic image quality by proposing an adaptive correction algorithm based on the improved Bilateral Gamma function. Firstly the illumination component is extracted by a fast image guided filter. Then an improved bilateral Gamma function fed by the distribution characteristics of illumination...
A big challenge in the precision agriculture is the detection of fruits in coffee crops on agricultural environments. This paper presents a comparison of four features set to detect the red fruits (mature) in Coffee plants. An Unmanned Aerial Vehicle (UAV) is used to obtain high-resolution RGB images of a coffee hall. The proposed methodology enables the extraction of visual features from image regions...
Childhood asthma has effectively doubled since 1980 and currently affects about 8% of the U.S. childhood population. Efficiently analyzing quality of air data, which would ultimately improve the information available to parents with children suffering from asthma, is crucial to reduce the likelihood of a serious attack. In order to accomplish this task, the use of low-cost, wearable, environmental...
Emotions influence our perceptions and decisions and are often felt more strongly in situations related to healthcare. Therefore, it is important to understand how both providers and patients express their emotions in face-to-face scenarios. An ontology is a way to represent domain concepts and the relationships between them in a polyarchical manner. We have created an ontological model called the...
The human visual system employs an information selection mechanism, visual attention, so that higher-level cognitive processes can be restricted to a potentially important subset of the incoming information. This mechanism is amenable to efficient computational implementation and, consequently, it has been incorporated into many technological applications. Among these applications is autonomous mobile...
Based on a large scale crime scene investigation (CSI) image database, an effective and efficient CSI image retrieval system has been proposed to empower the investigative work of the police force. The main contribution of this paper includes: (1) a DCT domain texture feature extraction algorithm is proposed for CSI images, which is shown to be simple and effective. (2) the use of GIST descriptor...
Image is usually taken for expressing some kinds of emotions or purposes, such as love, celebrating Christmas. There is another better way that combines the image and relevant song to amplify the expression, which has drawn much attention in the social network recently. Hence, the automatic selection of songs should be expected. In this paper, we propose to retrieve semantic relevant songs just by...
The ability to ask questions is a powerful tool to gather information in order to learn about the world and resolve ambiguities. In this paper, we explore a novel problem of generating discriminative questions to help disambiguate visual instances. Our work can be seen as a complement and new extension to the rich research studies on image captioning and question answering. We introduce the first...
Given a video and a description sentence with one missing word, “source sentence”, Video-Fill-In-the-Blank (VFIB) problem is to find the missing word automatically. The contextual information of the sentence, as well as visual cues from the video, are important to infer the missing word accurately. Since the source sentence is broken into two fragments: the sentence’s left fragment (before the blank)...
Blind image quality assessment (BIQA) methods aim to estimate the quality of a given test image without referring to the corresponding reference (original) image. Most BIQA methods use visual sensitivity models, which take into consideration intrinsic image characteristics (e.g. contrast, luminance, and texture) to identify degradations and estimate quality. For example, texture-based BIQA methods...
One of the important goals of medical augmented reality is to reveal the hidden anatomy, such as a tumor in an organ. However, conveying a hidden tumor's depth to the user effortlessly and precisely is still an unsolved problem. This is especially difficult in monocular laparoscopy. First, the number of available depth cues is in practice limited to only two: occlusion and relative size. Second, exploiting...
In this paper, we describe the application TaRDIS, a visual analytics system for spatial and temporal data designed for the needs of archaeo-related disciplines that supports domain experts in analyzing their data. The temporal data is visualized in form of an interactive Harris Matrix that illustrates the temporal position of the layers. The 2D and 3D visualization sketches the spatial position of...
We present two artistically-relevant algorithms to aid in the quantification of artistic style, the Discrete Tonal Measure (DTM) and Discrete Variational Measure (DVM). These quantitative features can provide clues to the artistic elements that enable art scholars to categorize works as belonging to different artistic styles. We also introduce two new datasets for analysis of artistic style: one based...
In recent years, block-based programming languages have been employed as learning tools to help students starting out with programming. How we design the layout of the available blocks likely impacts the success of the student. In this study, we compare student performance in three conditions consisting of different layouts of block categories in a block-based language: a grouping based on computer...
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