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High Efficiency Video Coding (HEVC) could not provide real time facilities to the limited processing and battery powered electronic devices as its encoding time complexity increases multiple times compared to its predecessor. Numerous researchers contribute to address this limitation by reducing a number of motion estimation (ME) modes where they analyze homogeneity, residual and statistical correlation...
In recent years, the bag of visual words (BoV) model is very popular in the field of computer vision. In particular, it has been widely used for image classification. The earliest method based on the BoV model, when constructing the visual dictionary, uses the clustering method to generate a single visual dictionary. This method does not consider the differences between categories of image dataset,...
We propose an Augmented Visual Intelligence (AVI) framework to assist human in vision- and memory-related tasks. The AVI framework exploits wearable cameras and ambient computing facilities to empower a user's vision and memory functions by answering four types of queries central to visual activities. In particular, the Extended Visual Memory (EVM) model plays a central role in AVI. Learning of EVM...
In this paper, a new algorithm for visualization of high-multidimensional data is described. The algorithm follows several steps. At first, centers representing several categories are selected, and Euclidean distances between these centers are calculated in a high-dimensional space. Then these centers are placed in a 2-dimensional space in such a way that distances in this 2-dimensional space are...
Online discussion forums make up a significant bulk in the type of opinion information that represents a valuable source for many real-world applications. However, conducting comprehensive opinion analysis of threaded discussions is a challenging task because it requires not only an aggregation of opinions over the multi-level thread structures, but also effective methods for exploring the complex...
User-centered design can aid visualization designers to build better, more practical tools that meet the needs of cyber security users. The cyber security visualization research community can adopt a variety of design methods to more efficiently and effectively build tools. We demonstrate how previous cyber visualization research has omitted a discussion of effectiveness and process in the explanation...
It is well known that image representations learned through ad-hoc dictionaries improve the overall results in object categorization problems. Following the widely accepted coding-pooling visual recognition pipeline, these representations are often tightly coupled with a coding stage. In this paper we show how to exploit ad-hoc representations both within the coding and the pooling phases. We learn...
The semantic gap is a crucial issue in the enhancement of computer vision. The user longs for retrieving images on a semantic level, but the image characterizations can only give a low-level similarity. As a result, recording a stage medium between high-level semantic concepts and low-level visual features is a stimulating task. A recent work, called Bag of visual Words (BoW) have arisen to resolve...
Generating the maximum number of visual patterns by uncovering the entire space of possible visual designs remains a challenge within the construction process of information visualization. Users interact with different mindsets consisting of design, data analysis, application development, and hardware resource usage. Therefore, they desire a flexible and productive interface that keeps them clued...
In this paper, we present an object categorization system capable of assigning multiple and related categories for novel objects using multi-label learning. In this system, objects are described using global geometric relations of 3D features. We propose using the Joint SVM method for learning and we investigate the extraction of hierarchical clusters as a higher-level description of objects to assist...
As integration of depth sensing into mobile devices is likely forthcoming, we investigate on merging appearance and shape information for mobile visual search. Accordingly, we propose an RGB-D search engine architecture that can attain high recognition rates with peculiarly moderate bandwidth requirements. Our experiments include a comparison to the CDVS (Compact Descriptors for Visual Search) pipeline,...
Most studies on feedback and design use thematic analysis. In this paper, we apply three text analysis methods that are not commonly used in feedback and design studies to encourage researchers to think outside of the box and try different methods. We show how word cloud representation, word frequency, and reading ease and grade level tests can be applied to a feedback on design dataset in order to...
Researchers have done a great number of studies on the visual object tracking and the video encoding transmission respectively. However, there are still no public reports about the influence on the visual object tracking raised by the video coding rates. In this paper, for this issue, a typical tracker with the features of HOG and the most commonly-used video encoding methods-H.264/AVC, are chosen...
Blocks-based programming environments offer an alternative program representation to textual source code that simplifies the considerations of syntax for novices. This position paper raises the question of whether additional affordances related to transparency of data, transparency of semantics, and liveness of execution can be consistently added to these environments to obtain some significant advantages...
A chess game is very popular also for visually impaired players. To some extent we can see similarities to blindfold chess game of sighted players. However blindfold chess is played by master players only. Thus blind beginners are facing demanding conditions for playing chess. We started with initial observation of a game play of blind chess players and indicated signs of using mental images, limits...
Quality is a crucial property of any software system and consists of many aspects. On the one hand, quality measures how well a piece of software satisfies its functional requirements. On the other hand, it captures how easy it is to understand, test and modify a software system. While functional requirements are provided by the product owner, maintainability of software is often underestimated. Currently...
The work described in this paper is about building a general model capable of simulating human behaviour and emotions using virtual characters. To make the simulation realistic enough, virtual characters need to express emotions according to the environment and deal with those emotions in a parallel way where an emotional experience can be triggered at the same time as another emotional response....
This paper deals with a method on video analytics. In case of investigation crime, investigators check videos of the security cameras (CCTVs: Closed-Circuit Tele Visions). It is especially important when there are no witnesses at a scene. Recently, the number of CCTVs for crime prevention has increased rapidly in Japan for the purpose of establishing safe society. Currently investigators manually...
Formalizing of the coding rules of clinical terminology on Traditional Chinese Medicine (TCM) is an important aspect of medical information mining and has attracted interests of researchers in such diverse fields as information visualization and formal concept analysis (FCA). The main purpose of this paper is to show the use of FCA to formalize and visualize the dependencies of TCM clinical terminology...
This paper proposes a fuzzy rate controller at the group of picture (GOP) level of the high efficiency video coding standard for variable bitrate applications. A fuzzy controller and a virtual buffer are used in our algorithm to calculate quantization parameter with minimized unnecessary fluctuation over the GOPs while the buffering constraint is obeyed as well as visual quality unnecessary fluctuation...
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