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Vector quantisation (VQ) shows a good performance for image coding with high-compression ratios. However, there are many difficulties for image coding with VQ, especially the edge degradation and high-computational complexity. To resolve these two problems, the authors propose a new coding method based on edge orientation patterns (EOPs) by classifying image blocks into nine classes according to their...
EM-PTS algorithm (electromagnetism-like partial transmit sequences) can effectively reduce the PAPR (peak-to-average power ratio) of the OFDM (orthogonal frequency-division multiplexing) signal, however, it requires local search to gather the neighborhood information for the sampled particles, which increases the computational complexity of EM-PTS algorithm. In this paper, we propose a novel EM-PTS...
This paper presents a novel dissolve detection method based on accumulating histogram difference (AHD) and support points. The proposed algorithm can detect fades and dissolves and avoid the false detection caused by the flashlight. In terms of recall, precision, computational complexity per frame and computational complexity per pixel, we compare our method with the Twin algorithm and the Two Measures...
Nowadays, face detection plays an important role in many applications. Despite of the notable successes achieved in the past decades, making a tradeoff between computational complexity and detection efficiency is the main challenge. The ultimate goal is to develop fast detection algorithms with high practicalities. Among the proposed face detection algorithms, those based on skin color form an important...
The document image segmentation is an important component in the document image understanding. kernel-based methods have demonstrated excellent performances in a variety of pattern recognition problems. This paper applies kernel-based methods and Gabor wavelet to the document image segmentation. The feature image are derived from Gabor filtered images. Taking the computational complexity into account,...
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