In this paper, we propose a kite-cross-diamond search (KCDS) algorithm, which is an improved version of the well-known cross-diamond search (CDS) algorithm and small cross-diamond search (SCDS) algorithm. Unlike traditional search pattern in block matching algorithm, such as square, diamond or cross – all are in vertically and horizontally symmetric shape, the KCDS algorithm adopts a novel asymmetric kite-shaped search patterns in the search step to keep similar distortion while the speed of the motion estimation for stationary or quasi-stationary blocks is further boosted. Experimental results show that the KCDS algorithm could achieve 39 % searching point reduction as compared with CDS whereas similar and even better prediction accuracy i...
Multi-framc motion compensation improves the rate-distortion performancc substantially but introduce...
Abstract—In motion estimation, the search patterns with different shape and size have a large conseq...
Although the conventional FS algorithm achieves the best quality amongst various Motion Estimation (...
In order to fit the small cross-center-biased characteristic of the real world video sequences, an i...
Estimation itself consumes more than half of the coding time to encode. To reduce the computational ...
AbstractIn this paper, a novel fast block-match algorithm called MADS based on multilevel adaptive d...
Object tracking is one of the main fields within computer vision. Amongst various methods/ approache...
Implementation of the Block Matching Algorithm (BMA) in Motion Estimation (ME) has been widely used ...
Abstract—This paper proposes a very efficient and simple fine-resolution inner search for the well-k...
<span class="MedBlackText">Motion estimation based on block matching plays a very important role in ...
[[abstract]]This work presents a novel block motion estimation (ME) approach, diamondarc-hexagon sea...
Block motion estimation using full search is computationally intensive, many fast algorithm have pro...
Abstract—This paper proposes an efficient block-matching motion estimation algorithm, called cross d...
We present an adaptive algorithm that finds the best block-matching results in a computationally con...
The search performance of block-matching motion estimation algorithms, i.e., search speed and motion...
Multi-framc motion compensation improves the rate-distortion performancc substantially but introduce...
Abstract—In motion estimation, the search patterns with different shape and size have a large conseq...
Although the conventional FS algorithm achieves the best quality amongst various Motion Estimation (...
In order to fit the small cross-center-biased characteristic of the real world video sequences, an i...
Estimation itself consumes more than half of the coding time to encode. To reduce the computational ...
AbstractIn this paper, a novel fast block-match algorithm called MADS based on multilevel adaptive d...
Object tracking is one of the main fields within computer vision. Amongst various methods/ approache...
Implementation of the Block Matching Algorithm (BMA) in Motion Estimation (ME) has been widely used ...
Abstract—This paper proposes a very efficient and simple fine-resolution inner search for the well-k...
<span class="MedBlackText">Motion estimation based on block matching plays a very important role in ...
[[abstract]]This work presents a novel block motion estimation (ME) approach, diamondarc-hexagon sea...
Block motion estimation using full search is computationally intensive, many fast algorithm have pro...
Abstract—This paper proposes an efficient block-matching motion estimation algorithm, called cross d...
We present an adaptive algorithm that finds the best block-matching results in a computationally con...
The search performance of block-matching motion estimation algorithms, i.e., search speed and motion...
Multi-framc motion compensation improves the rate-distortion performancc substantially but introduce...
Abstract—In motion estimation, the search patterns with different shape and size have a large conseq...
Although the conventional FS algorithm achieves the best quality amongst various Motion Estimation (...