Image Stitching Algorithms - A Review

2016 ◽  
Vol 1 (2) ◽  
pp. 14-18
Author(s):  
Srishty Suman ◽  
Utkarsh Rastogi ◽  
Rajat Tiwari
Keyword(s):  
Video Compression ◽  
Video Summarization ◽  
Video Stabilization ◽  
Image Stitching

Image stitching is the process of combining two or more images of the same scene as a single larger image. Image stitching is needed in many applications like video stabilization, video summarization, video compression, panorama creation. The effectiveness of image stitching depends on the overlap removal, matching of the intensity of images, the techniques used for blending the image. In this paper, the various techniques devised earlier for the image stitching and their applications in the relative places has been reviewed.

A Survey on Medical Image Analysis in Capsule Endoscopy

2019 ◽  
Vol 15 (7) ◽  
pp. 622-636 ◽  
Author(s):  
Kuntesh Ketan Jani ◽  
Rajeev Srivastava
Keyword(s):  
Image Analysis ◽  
Video Compression ◽  
Capsule Endoscopy ◽  
Medical Image ◽  
Detection System ◽  
Medical Image Analysis ◽  
Video Summarization ◽  
Complex Nature ◽  
Abnormality Detection ◽  
Non Invasive

Background and Objective: Capsule Endoscopy (CE) is a non-invasive, patient-friendly alternative to conventional endoscopy procedure. However, CE produces 6 to 8 hrs long video posing a tedious challenge to a gastroenterologist for abnormality detection. Major challenges to an expert are lengthy videos, need of constant concentration and subjectivity of the abnormality. To address these challenges along with high diagnostic accuracy, design and development of automated abnormality detection system is a must. Machine learning and computer vision techniques are devised to develop such automated systems. Methods: Study presents a review of quality research papers published in IEEE, Scopus, and Science Direct database with search criteria as capsule endoscopy, engineering, and journal papers. The initial search retrieved 144 publications. After evaluating all articles, 62 publications pertaining to image analysis are selected. Results: This paper presents a rigorous review comprising all the aspects of medical image analysis concerning capsule endoscopy namely video summarization and redundant image elimination, Image enhancement and interpretation, segmentation and region identification, Computer-aided abnormality detection in capsule endoscopy, Image and video compression. The study provides a comparative analysis of various approaches, experimental setup, performance, strengths, and limitations of the aspects stated above. Conclusion: The analyzed image analysis techniques for capsule endoscopy have not yet overcome all current challenges mainly due to lack of dataset and complex nature of the gastrointestinal tract.

scholarly journals Video Summarization using Keyframe Extraction Methods

2020 ◽  
Vol 9 (2) ◽  
pp. 1030-1032
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Video Compression ◽  
Video Summarization ◽  
Extraction Methods ◽  
Video Browsing ◽  
Keyframe Extraction ◽  
Proposed Model ◽  
Static Video Summarization ◽  
Fundamental Units

Video summarization plays an important role in too many fields, such as video indexing, video browsing, video compression, video analyzing and so on. One of the fundamental units in the video structure analysis is the keyframe extraction, Keyframe provides meaningful frames from the video. The keyframe consists of the meaningful frame from the videos which help for video summarization. In this proposed model, we presented an approach that is based on Convolutional Neural Network, keyframe extraction from videos and static video summarization. First, the video should be converted to frames. Then we perform redundancy elimination techniques to reduce the redundancy from frames. Then extract the keyframes from video by using the Convolutional Neural Network(CNN) model. From the extracted keyframe, we form a video summarization.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

An Improved Method to CABAC in the H.264/AVC Video Compression Standard

2009 ◽  
Vol E92-A (12) ◽  
pp. 3355-3360
Author(s):  
LeThanh HA ◽  
Chun-Su PARK ◽  
Seung-Won JUNG ◽  
Sung-Jea KO
Keyword(s):  
Video Compression ◽  
Improved Method

Temporal Drift Correction of Residues for Perceptually Based Video Compression

2016 ◽  
Vol 2016 (1) ◽  
pp. 27-31
Author(s):  
MarkQ. Shaw ◽  
JanP. Allebach ◽  
EdwardJ. Delp
Keyword(s):  
Video Compression ◽  
Drift Correction

Real Time Panoramic Video in OpenCV using Image Stitching Techniques

2018 ◽  
Vol 06 (03) ◽  
pp. 184-187
Author(s):  
K. Rajasri ◽  
D. Gayathri ◽  
Balasundari Ilanthirayan ◽  
A. Sundra
Keyword(s):  
Real Time ◽  
Image Stitching ◽  
Panoramic Video ◽  
Stitching Techniques
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