Bang-Bang clock and data recovery (BBCDR) circuits are hard nonlinear systems due to the nonlinearity introduced by the binary phase detector (BPD). The specification of the CDR frequency response is determined by jitter tolerance and jitter transfer. In this paper, jitter transfer and jitter tolerance of the second-order BBCDR are characterized by formulating the time domain waveforms. As a re...

In this paper, we propose a framework of video news system using image segmentation and augmented reality scheme. The goal of proposed system is to provide users with realistic audio-visual contents when they are interested in reading some topics on newspapers. In our approach, pictures on the newspapers were used as markers of augmented reality. Users can pick up these pictures to watch the co...

Accurately and automatically detecting image orientation is a task of great importance in intelligent image processing. In this paper, we present automatic image orientation detection algorithms based on these features: color moments; harris corner; phase symmetry; edge direction histogram. The statistical learning support vector machines, AdaBoost, Subspace classifier are used in our approach ...

In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findings in neuronal and cognitive mechanisms in human visual systems, we develop a computationally efficient model. An effective form of a visual part detector combines a radial symmetry detector with a corner-like structure detector...

This paper deals with the retrieval of scene-of-crime (or scene) shoeprint images from a reference database of shoeprint images by using a new local feature detector and an improved local feature descriptor. Our approach is based on novel modifications and improvements of a few recent techniques in this area: (1) the scale adapted Harris detector, which is an extension to multi-scale domains of...

In this paper we proposed a method of corner detection for obtaining features which is required for tracking and recognizing objects from a fused image. Image fusion is a combination of information gathered from different images which is useful for extraction of more numbers of features from Multibiometric systems, useful for the purpose of biometric recognition and identification. Image fusion...

Stitching of volumes obtained from three dimensional (3D) ultrasound (US) scanners improves visualization of anatomy in many clinical applications. Fast but accurate volume registration remains the key challenge in this area.We propose a volume stitching method based on efficient registration of 3D US volumes obtained from a tracked US probe. Since the volumes, after adjusting for probe motion,...

Human action recognition has a wide range of promising applications like video surveillance, intelligent interface, and video retrieval. The objective of this project is to recognize and annotate different human activities present in digital videos taken from both constrained and unconstrained environment. This work extended the use of the techniques existing in object recognition in 2D images ...

Since most algorithms for automatic video segmentation cannot extract video objects in a picture frame accurately, we can take a user-assisted approach in generating VOPs of moving objects. In this paper, we propose a semiautomatic video segmentation algorithm using semantic information. In order to reduce effects of unwanted feature points due to the low-level image processing operations, we e...