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Kotenseki is a collection of classical and ancient Japanese literature. It is comprised of image books that express Japanese stories by using comic drawings of different characters, such as humans, nature, and animals. To effectively store them for posterity, a search system is important. We propose an efficient CBIR system to assist the users in easily accessing the information and have an enjoyable...
Hyperspectral imaging has great potential for understanding the characteristics of different materials in many applications ranging from remote sensing to medical imaging. However, due to various hardware limitations, only low-resolution hyperspectral and high-resolution multi-spectral images can be available using existing imaging techniques. This study aims to generate a high-resolution hyperspectral...
Content Based Image Retrieval (CBIR) systems that search similar images in a large database are attracting more and more research interests recently, and have been applied to medical image characterization for expert's experience sharing. One challenging task in CBIR is how to extract features for effective image representation. Therein sparse coding technique has been proven to be an effective way...
This paper presents a study that evaluates the performance of multi-view human activity recognition with videos having degraded quality. For the activity recognition models, a support vector machine-based approach using spatiotemporal features and a deep learning-based approach using convolutional and recurrent layers are built. We investigate the recognition performance of the two models with respect...
Automatically generating images from text by using generative adversarial networks (GANs) has been actively investigated. To the best of our knowledge, there is no method of generating images with consideration of the given text and its context; therefore, representing a story describing a series of related actions is insufficient for applications such as generating image sequences. In this paper,...
In this paper, the characteristics and effects of the data-open, function-reform and data-governance in the process of dealing with the challenges brought by the age of big data, were analyzed firstly. In China, these action plans adopted by governments have brought new changes in government functions restructuring, leading to a new pattern of government information resources management. Secondly,...
Collaborative filtering is widely used in recommender systems. When training data are extremely sparse, neighbor selection methods work ineffectively. To address this issue, this paper proposes a distributed representation model that represents users as low-dimensional vectors for neighbor selection by considering the chronological order of users' ratings. Experiments show that the proposed method...
In this paper, we design a system that can make calligraphy in real-time by using real Chinese brush. The system consists of two parts: calligraphy stroke generation and ink dispersion. In the calligraphy stroke generation, we use Kalman filter algorithm to deal with the unsmooth points at low speed, and combine arc and linear interpolation method to interpolate points with high speed, then we fill...
In this paper, we present a realtime natural interaction system by using Kinect sensor. It can stability and smoothly control hand like mouse by user's holding hands, and implement common mouse operations such as 'clicking', 'dragging' and 'dropping' so on. Our interaction system is made of several novel technique. It can identify the user's interaction with intent by detecting the engaged/disengaged...
This paper introduces an open-source HEVC video call application called Kvazzup. This academic proposal is the first HEVC-based end-to-end video call system with a user-friendly Graphical User Interface for call management. Kvazzup is built on the Qt framework and it makes use of four open-source tools: Kvazaar for HEVC encoding, OpenHEVC for HEVC decoding, Opus codec for audio coding, and Live555...
With the extensive use of sophisticated image editing software, it has become easy to manipulate digital images without any visually visible clue. Copy-move is a special type of image forgery performed by copying a part of the image and pasting anywhere else in the same image. We proposed a passive image authentication technique to determine the copy-move forgery. First, the method divides the image...
Key frame extraction is a crucial step in content-based video retrieval. To accurately describe character of frames, various features like color, texture, shape can be integrated and used for key frame extraction. In this paper, we proposed an improved two-phase approach of key frame extraction based on entropy and perceptual hash. It weakens the threshold's direct influence on final results, and...
Keypoint matching between images is an important technique for computer vision applications such as image retrieval. Although binary feature descriptors such as BRIEF enable fast measurement of distance, exhaustive search is still time-consuming. Hashing methods such as Locality Sensitive Hashing (LSH), while being effective to accelerate searching, result in large memory consumption and thus are...
Online, interactive textbooks utilizing multimedia are continually gaining popularity in computer science courses. We present a system for automated analysis that can harness the power of these textbook and practice systems to provide information about high-level conceptual understanding to educators. The system presents a visualization using data logged by an interactive textbook to provide numeric...
As of February 2014 there were around 10 million registered user for massive open online courses(MOOCS) in about 1500 courses. One of the many reasons for such a huge user base is the advancements in the media streaming and storage technologies. Multimedia has emerged as a powerful and expressive medium for presenting information. However, according to a study, the average completion of MOOCS is around...
Unit testing is based on the idea that units under test behave in a reproducible and deterministic way. If the unit's code is dependent on external context factors like time or location, these factors have to be controlled in order to produce meaningful results. Spaced repetition mobile learning games in which users are reminded to play at time intervals are based on previous user interaction with...
Video shot boundary detection is a fundamental step towards video information processing in e-learning scenarios. In the field of shot boundary detection, there still exists difficulty in choosing suitable thresholds for different videos, and empirical thresholds usually lead to low precision. Thus, we propose an original method to generate video-based threshold which is calculated by video itself...
Computer-supported collaborative learning scenarios provide an opportunity for the participants to develop their conceptual understanding of a topic in a shared e-learning environment. This requires the integration of collaborative and cooperative authoring functionality for a wide range of distinct types of data, including multimedia. However, restricting access to currently manipulated elements...
Reading is one of the main paths to acquire knowledge, either done traditionally on paper media or practiced on electronic devices. Efficiency varies when different reading patterns are involved. It is the objective of this research to classify reading patterns from fixation data using machine learning techniques in an attempt to understand and evaluate the reading and learning process. In our experiment,...
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