Hung-Hsu Tsai

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In this paper, we propose a novel digital watermarking technique based on neural networks for color images. Our technique hides an invisible watermark into a color image, and then e!ectively cooperates neural networks to learn the characteristics of the embedded watermark related to the watermarked image. Due to neural networks possessing the learning and(More)
We propose a new intelligent audio watermarking method based on the characteristics of the HAS and the techniques of neural networks in the DCT domain. The method makes the watermark imperceptible by using the audio masking characteristics of the HAS. Moreover, the method exploits a neural network for memorizing the relationships between the original audio(More)
This paper proposes a new presentation system integrating a Microsoft PowerPoint presentation in a two-layer method, called the TL system, to promote learning in a physical classroom. With the TL system, teachers can readily control hints or annotations as a way of making them visible or invisible to students so as to reduce information load. In addition,(More)
This paper presents a novel facial emotion recognition (FER) technique, based on support vector machine (SVM), to recognize the facial emotion expression. Here it is called the FERS technique. First, a face detection method, which combines the Haar-like features (HFs) method with the self quotient image (SQI) filter, is used in the FERS technique to(More)
This study introduces a learning environment integrating annotations with a dual-slide PowerPoint presentation for classroom learning. Annotation means a kind of additional information to emphasize the explanations for the learning objects. The use of annotations is to support the cognitive process for PowerPoint presentation in a classroom. The(More)
This paper proposes a multimedia English learning (MEL) system, based on Hidden Markov Models (HMMs) and mastery theory strategy, for teaching students with the aim of enhancing their English phonetic awareness and pronunciation. It can analyze phonetic structures, identify and capture pronunciation errors to provide students with targeted advice in(More)
Abstract. This paper presents an adaptive image-watermarking technique based on just-noticeable distortion (JND) profile and fuzzy inference system (FIS) optimized with genetic algorithm (GA). Here it is referred to as the AIWJFG technique. During watermark embedding, it embeds a watermark into an image by referring the JND profile of the image so as to(More)