This demonstration aims to construct an interactive multimedia learning platform for ecology education, which allows young children to learn interactively through the virtual reality of digital media. This enhanced learning experience integrates augmented reality (AR) and Arduino features, and utilizes digital animation design software and 3D technologies to design a sequence of AR markers based on the growth of plants. Learners can use a webcam to capture AR marker information and generate three-dimensional objects and media on-screen. With changes or angle tilt of the AR marker, users can interact directly with the 3D objects and learn about plant growth through this virtual reality platform.

This paper proposes a series of defect detection algorithms for video in painting. The proposed algorithms are developed based on adjustable thresholds and the primary focus of these algorithms is to provide a better way to repair different kinds of aged films. Two major defect detection techniques that have been created in this study are automatic spike and dirt detection mechanism. Several important findings have been released in the study. First, the findings indicate that if the user is able to choose appropriate threshold, most damages in an aged video clip can be detected. Second, the findings exhibit that spatial information can be used to repair certain damages, which can not be fixed by temporal information due to fast motion. Finally, the results of this study are visually pleasant with most defects removed.

Image inpainting (or image completion) techniques use textural or structural information to repair or fill damaged portion of a picture. However, most techniques request a human to identify the portion to be inpainted. We developed a new mechanism which can automatically detect defect portions in a photo, including damages by color ink spray and scratch drawing. The mechanism is based on several filters and structural information of damages. Old photos from the author's family are used for testing. Preliminary results show that most damages can be automatically detected without human involvement. The mechanism is integrated with our inpainting algorithms to complete a fully automatic photo defects repairing system.

Aged films may contain defects such as spikes or dirt, as well as long vertical defect lines. These defects were produced in file development or due to improper maintenance of films. We present a series of algorithms, which can detect and restore defects. In addition, the restoration technique is used with a motion tracking mechanism. Objects can be removed and holes can be inpainted. We aim to demonstrate three tools for 1) spike detection and restoration, 2) long vertical line detection and repairing, and 3) object removal and inpainting. Results of restored video clips show that our mechanisms are practical with good inpainted video quality.

Video inpainting uses spatial-temporal information to repair defects such as spikes and lines on aged films. We propose a series of new algorithms based on adjustable thresholds to repair different varieties of aged films. The main contribution is an automatic spike and dirt detection mechanism. We prove that if appropriate threshold is once decided by the author, most damages in an aged video clip can be detected. In addition, the repairing procedure first estimates temporal information and obtain replacement blocks among several frames. Spatial information is then used to repair damages that can not be fixed by temporal information due to fast motion. The results are visually pleasant with most defects removed.

Progressive image transmission (PIT) transmits the most significant portion of a picture, followed by less important parts. The mechanism can be used in Web-based applications, while users are browsing images. Most PIT methods use the same pixel interpolation scheme for the entire picture, without considering the differences in different portions. We test several strategic decomposition mechanisms. Our contribution results in an adaptive image transmission mechanism, which takes the differences of pictures and picture portions into consideration. We tested 1500 pictures in different categories and parameters. The overall bit rates can be reduced significantly, with good PSNR values. An error recovery procedure is also implemented to guarantee the transmitted pictures that can be fully recovered.

Digital image inpainting is a technique that can repair a portion of damaged or removed image by means of automatic mechanisms. Image inpainting tools can be applied to repairing damaged historical documents. In this paper, we propose an adaptive mechanism, which is based on a color interpolation mechanism. The repairing procedure checks the surrounding information of a damaged pixel and decides the range of references that can be used to compute an interpolated color. We have tested on more than 2000 images include painting, photo, and cartoon drawing. The evaluation shows that our mechanism produces a very good result.

Digital inpainting uses spatial or frequency information to restore partially damaged/removed photos and artworks. Most restoration algorithms take a picture as a single layer. We propose a new approach, which subdivides a Chinese painting into several layers. Each layer is inpainted separately. The layer fusion mechanism then finds the optimal inpaint among layers, which are restored layer-by-layer. We apply the algorithm on Chinese and western drawing. The result shows a high PSNR value as well as a high user satisfaction. A demonstration of our work is available at: http://www.mine.tku.edu.tw/demos/inpaint.

Automatic inpainting is a mechanism which repairs damaged pictures using an approximation mechanism. The most difficult problem is to inpaint a large damaged area, without knowing its content. One possible solution is to use color interpolation or extrapolation on surrounding pixels. However, spatial characteristics such as edges and pixel continuations are hard to be restored. In this research, we propose a series of automatic algorithms, which is based on an analysis of color continuations. Large damaged blocks are repaired, before the rest smaller potions are repaired by a multiresolution inpainting algorithm. The mechanism is tested on more than 2000 images, including cartoon drawing, photos, Chinese painting, and western painting. Our results prove that, the proposed automatic mechanism fixes damaged image up to a certain degree of satisfaction from the users. The demonstration of our work is available at: http://www.mine.tku.edu.tw/demos/inpaint.

Digital inpainting is an image interpolation mechanism, which can automatically restore damaged or partially removed image. Most inpainting mechanisms use a singular resolution approach on the extrapolation or interpolation of pixels. We propose a multi-resolution algorithm, which can take into consideration the different levels of details. The algorithm was tested on 1000 still images, with an evaluation showing the effectiveness of our approach. The demonstration of our work is available at: http://www.mine.tku.edu.tw/demos/inpaint.

Automatic digital inpainting is a challenge but interesting research area. This demonstration presents a tool, which uses a color interpolation mechanism to restore damaged images. The mechanism checks the variation of pixel blocks and restores pixels using different strategies. We test more than 1000 images, including photos, paintings, and cartoon drawings. The proposed system is also available at: http://www.mine.tku.edu.tw/demos/inpaint.

Multimedia presentation systems require flexible support for the modeling of multimedia content. Many presentation systems provide synchronized, sequential or concurrent, and possible interactive, transfer of multimedia data streams such as audio, video, text and annotations used with network facilities. However, our investigation of existing standards and applications for multimedia document models such as HTML, MHEG, SMIL, HyTime, RealPlay and MS Windows Media shows that these standards and application models do not provide adequate support for reuse and adaptation. Consequently, we propose a new approach for the modeling of reusable and adaptable multimedia content. We developed a comprehensive system for advanced multimedia content production: support for recording the presentation, retrieving the content, summarizing the presentation, weaving the presentation and customizing the representation. This approach significantly impacts and supports multimedia presentation authoring processes in terms of methodology and commercial aspects.

The Internet traffic is growing rapidly in recent years. How to distribute the network traffic effectively is an important issue. In this paper, we propose a mobile distributed web server system to distribute Web content to the mobile servers around the world in inexpensive and effective way. The proposed method is fully compatible with current existing systems. In this paper, we discuss the Web content requesting imbalance (WCRI) problem and describe how this system is able to solve this problem. We also provide a possible implementation of a mobile distributed Web server system.

There is an increasing number of products to be saved in digital form. In the digital world, we can preserve products forever, but there are also disadvantages such as easy copying. The watermark is an important protection method in digital media. When a media is publicly available or put on a network, it is very easy to copy or be misappropriated. The author can prove ownership by using an open algorithm and security key to extract the watermark. Therefore, a watermark technique must resist attacks and cannot influence image quality. We propose an image watermark technique based on the spatial domain in a color image. We present experimental results which prove that our method can resist certain attacks.