I-Cheng Chang

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In this paper, we propose a model-based method to analyze the human walking motion. This system consists of three phases: the preprocessing phase, the model construction phase, and the motion analysis phase. In the experimental results, we show that our system not only analyzes the motion characteristics of the human body, but also recognizes the motion(More)
A reversible data hiding scheme based on residual histogram shifting for the compressed images of block truncation coding (BTC) is proposed. This scheme employs an iterative approach to embed the secret data into the compressed codes of BTC. In each round, the quantization levels are processed by the block-based prediction technique to generate the residual(More)
In this paper we present an efficient block-based fragile watermarking system for tamper localization and recovery of images. We apply the Cyclic Redundancy Checksum (CRC) to authenticate the feature of a block stored in a pair of mapping blocks. The proposed scheme localizes the tampered area irrespective of the gray value, and the detection strategy is(More)