Video Matching by One-Dimensional PSNR Profile

2013 ◽  
Vol 479-480 ◽  
pp. 174-178
Author(s):  
Shi Wei Lo
Keyword(s):  
Image Quality ◽  
Video Sequence ◽  
Experimental Results ◽  
Video Sequences ◽  
Motion Feature ◽  
One Dimensional ◽  
Matching Process ◽  
Video Matching

This paper addresses a compact framework to matching video sequences through a PSNR-based profile. This simplify video profile is suitable to matching process when apply in disordered undersea videos. As opposed to using color and motion feature across the video sequence, we use the image quality of successive frames to be a feature of videos. We employ the PSNR quality feature to be a video profile rather than the complex contend-based analysis. The experimental results show that the proposed approach permits accurate of matching video. The performance is satisfactory on determine correct video from undersea dataset.

ROBUST EYE TRACKING IN VIDEO SEQUENCE

2012 ◽  
Vol 21 (01) ◽  
pp. 1250012 ◽  
Author(s):  
HUCHUAN LU ◽  
SHIPENG LU ◽  
GANG YANG
Keyword(s):  
Eye Tracking ◽  
Visual Tracking ◽  
Video Sequence ◽  
Experimental Results ◽  
Video Sequences ◽  
Affine Manifold ◽  
Second Stage ◽  
Novel Method ◽  
Iris Center ◽  
Image Streams

In this paper, we present a novel method for eye tracking, in detail describing the eye contour and the visible iris center. Combining the IVT (Incremental Visual Tracking) tracker, the proposed online affine manifold model, in which the sequentially learning shape and texture are modeled in the first stage and noniterative recovering estimation in the second stage, tracks the eye contour in video sequences. After that, an adaptive black round mask is generated to match the visible iris center. Experimental results of eye tracking indicate that our tracker works well in the PC or domestic camera captured image streams with considerable head and eyeball rotation.

scholarly journals Automatic Detection of Certain Unwanted Driver Behavior

2021 ◽  
Author(s):  
Boris Faizov ◽  
Vlad Shakhuro ◽  
Anton Konushin
Keyword(s):  
Mobile Phone ◽  
Experimental Evaluation ◽  
Video Sequence ◽  
Driver Behavior ◽  
Automatic Detection ◽  
Temporal Information ◽  
Training Data ◽  
Video Sequences ◽  
Experimental Comparison

This work is devoted to the automatic detection of unwanted driver behavior such as smoking, using a mobile phone, and eating. The various existing datasets are practically unsuitable for this task. We did not find suitable training data with RGB video sequences shot from the position of the inner mirror. So we investigated the possibility of training the algorithms for this task on an out-of-domain set of people faces images. We also filmed our own test video sequence in a car to test the algorithms. We investigated different existing algorithms working both with one frame and with video sequences and conducted an experimental comparison of them. The availability of temporal information improved quality. Another important aspect is metrics for assessing the quality of the resulting system. We showed that experimental evaluation in this task should be performed on the entire video sequences. We proposed an algorithm for detecting undesirable driver actions and showed its effectiveness.

Free-Viewpoint 3DTV

2013 ◽  
pp. 235-253
Author(s):  
S. Zinger ◽  
L. Do ◽  
P. H. N. de With ◽  
G. Petrovic ◽  
Y. Morvan
Keyword(s):  
Image Quality ◽  
Research Community ◽  
Depth Image ◽  
Video Sequences ◽  
Depth Images ◽  
Trade Offs ◽  
Interpolation Problems ◽  
Depth Image Based Rendering ◽  
Interpolation Techniques

Free-ViewPoint (FVP) interpolation allows creating a new view between the existing reference views. Applied to 3D multi-view video sequences, it leads to two important applications: (1) FVP service provided to the user, which enables the possibility to interactively select the viewing point of the scene; (2) improved compression of multi-view video sequences by using view prediction for inter-view coding. In this chapter, the authors provide an overview of the essential steps for 3D free-view video communication, which consists of the free-viewpoint interpolation techniques, a concept for free-view coding and a scalable free-view video streaming architecture. For facilitating free-view to the user, the chapter introduces the free-viewpoint interpolation techniques and the concept of warping. The authors assume that 3D video is represented by texture and depth images available for each view. Therefore it is possible to apply Depth Image Based Rendering (DIBR), which uses the depth signal as a important cue for geometry information and 3D reconstruction. Authors analyze the involved interpolation problems, such as cracks, ghost contours and disocclusions, which arise from an FVP interpolation and propose several solutions to improve the image quality of the synthesized view. Afterwards, they present a standard approach to FVP rendering used currently by the research community and our FVP interpolation. Additionally, authors show the use of FVP rendering for the multi-view coding and streaming and discuss the gains and trade-offs of it. At the end of the chapter are the state-of-the-art achievements and challenges of FVP rendering and a vision concerning the development of free-viewpoint services.

An Improved RNAMC Image Representation

2011 ◽  
Vol 143-144 ◽  
pp. 746-749
Author(s):  
Yun Ping Zheng ◽  
Zu Jia Li ◽  
Mudar Sarem ◽  
Qing Hong Yang ◽  
Xiu Xiu Liao
Keyword(s):  
Image Quality ◽  
Image Representation ◽  
Experimental Results ◽  
Reconstructed Image ◽  
Bit Rate ◽  
Gray Image ◽  
Packing Model ◽  
Representation Method ◽  
Improved Algorithm

In this paper, by controlling the ratio of the length and the width of a homogenous block, we proposed an improved algorithm for the gray image representation by using the Rectangular Non-symmetry and Anti-packing Model Coding (RNAMC) and extended shading approach, which is called the IRNAMC image representation method. Also, we present an IRNAMC representation algorithm of gray images. By comparing our proposed IRNAMC method with the conventional S-Tree Coding (STC) method, the experimental results presented in this paper show that the former can significantly reduce the lower bit rate and the number of homogenous blocks than the latter whereas remaining the satisfactory image quality. Also, the experimental results show that by controlling the ratio of the length and the width, we can improve the reconstructed image quality of the RNAMC method.

scholarly journals STEREO MATCHING ALGORITHM BASED ON ILLUMINATION CONTROL TO IMPROVE THE ACCURACY

2016 ◽  
Vol 35 (1) ◽  
pp. 39 ◽  
Author(s):  
Rostam Affendi Hamzah ◽  
Haidi Ibrahim ◽  
Anwar Hasni Abu Hassan
Keyword(s):  
Image Quality ◽  
Stereo Vision ◽  
Stereo Matching ◽  
State Of The Art ◽  
Experimental Results ◽  
New Method ◽  
Absolute Difference ◽  
Matching Algorithm ◽  
Disparity Maps

This paper presents a new method of pixel based stereo matching algorithm using illumination control. The state of the art algorithm for absolute difference (AD) works fast, but only precise at low texture areas. Besides, it is sensitive to radiometric distortions (i.e., contrast or brightness) and discontinuity areas. To overcome the problem, this paper proposes an algorithm that utilizes an illumination control to enhance the image quality of absolute difference (AD) matching. Thus, pixel intensities at this step are more consistent, especially at the object boundaries. Then, the gradient difference value is added to empower the reduction of the radiometric errors. The gradient characteristics are known for its robustness with regard to the radiometric errors. The experimental results demonstrate that the proposed algorithm performs much better when using a standard benchmarking dataset from the Middlebury Stereo Vision dataset. The main contribution of this work is a reduction of discontinuity errors that leads to a significant enhancement on matching quality and accuracy of disparity maps.

Observability of Very Thick Specimen by Using Transmission Scanning Electron Microscope

1971 ◽  
Vol 29 ◽  
pp. 26-27
Author(s):  
K. Shibatomi ◽  
T. Yamanoto ◽  
H. Koike
Keyword(s):  
Electron Microscope ◽  
Image Quality ◽  
Scanning Electron Microscope ◽  
Chromatic Aberration ◽  
Image Contrast ◽  
Objective Lens ◽  
Thick Specimen ◽  
Transmission Electron ◽  
Scanning Electron

In the observation of a thick specimen by means of a transmission electron microscope, the intensity of electrons passing through the objective lens aperture is greatly reduced. So that the image is almost invisible. In addition to this fact, it have been reported that a chromatic aberration causes the deterioration of the image contrast rather than that of the resolution. The scanning electron microscope is, however, capable of electrically amplifying the signal of the decreasing intensity, and also free from a chromatic aberration so that the deterioration of the image contrast due to the aberration can be prevented. The electrical improvement of the image quality can be carried out by using the fascionating features of the SEM, that is, the amplification of a weak in-put signal forming the image and the descriminating action of the heigh level signal of the background. This paper reports some of the experimental results about the thickness dependence of the observability and quality of the image in the case of the transmission SEM.

Organ doses and subjective image quality of indirect digital panoramic radiography

2001 ◽  
Vol 30 (6) ◽  
pp. 308-313 ◽  
Author(s):  
F Gijbels ◽  
G Sanderink ◽  
C Bou Serhal ◽  
H Pauwels ◽  
R Jacobs
Keyword(s):  
Image Quality ◽  
Panoramic Radiography ◽  
Organ Doses ◽  
Subjective Image Quality ◽  
Digital Panoramic Radiography
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