Block matching motion estimation is the essence of video coding systems. Therefore, development of an efficient method for fast motion estimation is the basic requirement of the video encoder design. Block based motion estimation algorithms are used to reduce the memory requirements of any video file and also decrease computational complexity. We have been presented here some block matching alg...

the aim of this study is to investigate iranian tefl graduates’ conception of measurement error in research. adopting a sequential explanatory multi-method strategy (borg, 2009), the researchers analyzed causal and temporal relations in the research narratives elicited from 30 tefl graduates. gee’s (1986) framework for identifying narrative discourse units (lines, stanzas, and episodes) was ado...

The primary tasks of decision-support modelling are to quantify and reduce the uncertainties decision-critical model predictions. Reduction predictive uncertainty requires assimilation information. Generally, this information resides in two places: 1) expert knowledge emerging from site characterization 2) field measurements present historical system behavior. former is uncertain should therefo...

Tracking data becomes an increasingly available sensor data resource that can be used in a range of applications related to traffic assessment and prediction. Of critical importance in this context is the amount of (i) historic and (ii) current tracking data available (data per spatial area). Using data of varying quality (sampling rate and accuracy) requires sophisticated map-matching algorith...

The Motion estimation is an effective method for removing temporal redundancyfound in video sequence compression. Block Matching algorithm has been widely used in motion estimation and a number of fast algorithms have proposed to reduce the computational complexity of BMA. In this paper we propose a new search strategy for fast block matching based on Four-Neighborhood Search (FNS) and fast com...

Life history (LH) theory provides an evolutionary theoretical framework for understanding individual differences in maturation, mating, reproduction, parenting, and social interaction. However, the psychometric assessment of human life history has been largely limited to generalized self-reports. Using template matching, this article examines the relationship between personality differences ass...

In this paper, we propose an expert-system based parallel multi-1-dimensional block matching algorithm (ESPM-1D-BMA) for motion estimation (ME). Instead of the conventional 2D block matching, we employ the parallel multi-1D blocks matching to improve the computing speed. To improve the ME accuracy, we design a knowledge base and inference engine to determine the true motion vector (MV) from the...

We address the problem of approximate string matching in d dimensions, that is, to nd a pattern of size m d in a text of size n d with at most k < m d errors (substitutions, insertions and deletions along any dimension). We use a novel and very exible error model, for which there exists only an algorithm to evaluate the similarity between two elements in two dimensions at O(m 4) time. We extend...