Shih-Hao Wang

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This paper proposes a wavelet-tree-based blind watermarking scheme for copyright protection. The wavelet coefficients of the host image are grouped into so-called super trees. The watermark is embedded by quantizing super trees. The trees are so quantized that they exhibit a large enough statistical difference, which will later be used for watermark(More)
In this paper, we proposed a platform based bus-interleaved architecture for the deblocking filter in H.264/MPEG-4 AVC. Specifically, to efficiently use the bus bandwidth, we classify the filtering mode into 8 types and use an adaptive transmission scheme to avoid redundant data transfers. Moreover, to reduce the processing latency, we use a bus-interleaved(More)
We present a baseline MPEG-4 AVC (Advanced Video Coding) decoder based on an optimized platform-based design methodology. With this methodology, we jointly optimize the software and hardware design of the decoder. Overall decoding throughput is increased by synchronizing the software and the dedicated co-processors. The synchronization is achieved at(More)
We present a baseline MPEG-4 Advanced Video Coding (AVC) decoder based on the methodology of joint optimization of software and hardware. The software is first optimized with algorithm improvements for frame buffer management, boundary padding, content-aware inverse transform and context-based entropy decoding. The overall decoding throughput is further(More)
A new architecture design for motion estimation using binary matching criterion is proposed to achieve low power and bus bandwidth efficiency. Low power and high bus bandwidth efficiency are the two key issues for portable video applications. To address such issues, we first study an efficient algorithm called all binary motion estimation (ABME), and(More)
This paper presents an efficient hardware-software implementation with a macroblock based pipelining and a bus interlaced architecture for all binary motion estimation (ABME), which has been proven to be simple and low cost for hardware design. The bus interleaved preprocessing module of the ABME architecture can generate downsampling and binarized data in(More)
In this paper, we describe a location based text mining approach to classify texts into various categories based on their geospatial features, with the aims to discovering relationships between documents and zones. We first mapped documents into corresponding zones by Adaptive Affinity Propagation (Adaptive AP) clustering technique, and then framed maximize(More)