A Three-Point Directional Search Block Matching Algorithm

This paper proposes compact directional asymmetric search patterns, which we have named as three-point directional search (TDS). In most fast search motion estimation algorithms, a symmetric search pattern is usually set at the minimum block distortion point at each step of the search. The design of the symmetrical pattern in these algorithms relies primarily on the assumption that the direction of convergence is equally alike in each direction with respect to the search center. Therefore, the monotonic property of real-world video sequences is not properly used by these algorithms. The strategy of TDS is to keep searching for the minimum block distortion point in the most probable directions, unlike the previous fast search motion estimation algorithms where all the directions are checked. Therefore, the proposed method significantly reduces the number of search points for locating a motion vector. Compared to conventional fast algorithms, the proposed method has the fastest search speed and most satisfactory PSNR values for all test sequences

Block Matching Algorithms for the Estimation of Motion in Image Sequences: Analysis

Several video coding standards and techniques have been introduced for multimedia applications, particularly the h.26x series for video processing. These standards employ motion estimation processing to reduce the amount of data that is required to store or transmit the video. The motion estimation process is an inextricable part of the video coding as it removes the temporal redundancy between successive frames of video sequences. This paper is about these motion estimation algorithms, their search procedures, complexity, advantages, and limitations. A survey of motion estimation algorithms including full search, many fast, and fast full search block-based algorithms has been presented. An evaluation of up-to-date motion estimation algorithms, based on several empirical results on several test video sequences, is presented as well

All Directional Search Motion Estimation Algorithm

The search performance of block-matching motion estimation algorithms, i.e., search speed and motion estimation quality, mainly depends on the shape and size of the search pattern. Most motion estimation algorithms employ search patterns of square, diamond, hexagonal, cross diamond or cross hexagonal shapes. These search patterns achieve good results for video sequences with simple motion activity, but unfavourable results for video sequences with complex motion activity. After a thorough investigation of the effect of search pattern on search performance, this paper proposes an all-direction search (ADS) pattern, which searches for the best block in all possible directions. For further improvement in search speed, a half way stop technique is applied in search process. The results show that the proposed ADS algorithm outperforms other state-of-the-art and eminent motion estimation algorithms. The higher the direction complexity in the neighbouring motion vectors, the better the prediction quality of ADS, which is further proved by the simulation results

All Directional Search Motion Estimation Algorithm

The search performance of block-matching motion estimation algorithms, i.e., search speed and motion estimation quality, mainly depends on the shape and size of the search pattern. Most motion estimation algorithms employ search patterns of square, diamond, hexagonal, cross diamond or cross hexagonal shapes. These search patterns achieve good results for video sequences with simple motion activity, but unfavourable results for video sequences with complex motion activity. After a thorough investigation of the effect of search pattern on search performance, this paper proposes an all-direction search (ADS) pattern, which searches for the best block in all possible directions. For further improvement in search speed, a half way stop technique is applied in search process. The results show that the proposed ADS algorithm outperforms other state-of-the-art and eminent motion estimation algorithms. The higher the direction complexity in the neighbouring motion vectors, the better the prediction quality of ADS, which is further proved by the simulation results

Technological Advancements and Elucidation Gadgets for Healthcare Applications: An Exhaustive Methodological Review-Part-II (Robotics, Drones, 3D-Printing, Internet of Things, Virtual/Augmented and Mixed Reality)

The substantial applicability of technological advancements to the healthcare sector and its allied segments are on the verge of questioning the abilities of hospitals, medical institutions, doctors and clinical pathologists in delivering world class healthcare facilities to the global patient community. Investigative works pertinent to the role played of technological advancements in the healthcare sector motivated this work to be undertaken. Part-I of the review addressed the applicable role play of advanced technologies such as Artificial intelligence, Big-data, Block chain, Open-Source and Cloud Computing Technologies, etc., to the healthcare sector and its allied segments. The current Part-II manuscript is critically focused upon reviewing the sustainable role of additional disrupting technologies such as Robotics, Drones, 3D-Printing, IoT, Virtual/Augmented/Mixed Reality, etc., to uncover the vast number of implicit problems encountered by the clinical community. Investigations governing the deployment of these technologies in various allied healthcare segments are highlighted in this manuscript. Subsequently, the unspoken challenges and remedial future directions are discussed thereof