Results 21 to 30 of about 634,727 (288)

Mobile 3D video broadcast

open access: yes2010 IEEE International Conference on Image Processing, 2010
In this paper, we present a complete framework of an end-to-end error resilient transmission of 3D video over Digital Video Broadcasting - Handheld (DVB-H) and provide an extensive analysis of coding and transmission parameters. We perform the analysis for different coding and error resilience schemes using different contents coded at different bitrate
Bici, M. Oguz   +3 more
openaire   +2 more sources

3D Thumbnails for 3D Videos with Depth [PDF]

open access: yes, 2011
In this chapter, we present a new thumbnail format for 3D videos with depth, 3D thumbnail, which helps users to understand the content by preserving the recognizable features and qualities of 3D videos. The current thumbnail solutions do not give the general idea of the content and are not illustrative.
Yigit Y., Fatih Isler S., Capin T.
openaire   +3 more sources

Unsupervised Learning of Long-Term Motion Dynamics for Videos [PDF]

open access: yes, 2017
We present an unsupervised representation learning approach that compactly encodes the motion dependencies in videos. Given a pair of images from a video clip, our framework learns to predict the long-term 3D motions.
Alahi, Alexandre   +4 more
core   +2 more sources

Süt molar diş çekimi sırasında 3D video gözlük kullanımının çocuklarda ağrı ve anksiyete üzerine etkisi

open access: yesActa Odontologica Turcica, 2020
Amaç: Çocuk diş hekimleri, dental tedaviler sırasında hastalarının ağrı ve anksiyetesini kontrol altına almak için pek çok yöntem kullanmaktadır. Dikkat dağıtma yöntemi, çocuk hastalarda bu amaçla sık kullanılan davranış yönlendirme tekniklerinden ...
Zeliha Hatipoğlu Palaz   +2 more
doaj   +1 more source

VIDEOGRAMMETRY VS PHOTOGRAMMETRY FOR HERITAGE 3D RECONSTRUCTION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
In the last years we are witnessing an increasing quality (and quantity) of video streams and a growing capability of SLAM-based methods to derive 3D data from video. Video sequences can be easily acquired by non-expert surveyors and possibly used for 3D
A. Torresani, A. Torresani, F. Remondino
doaj   +1 more source

Immersive 3D Holoscopic Video System [PDF]

open access: yesIEEE MultiMedia, 2013
We demonstrated a 3D holoscopic video system for 3DTV application. We showed that using a field lens and a square aperture significantly reduces the vignetting problem associated with a relay system and achieves over 95 percent fill factor. The main problem for such a relay system is the nonlinear distortion during the 3D image capturing, which can ...
Aggoun, Amar   +7 more
openaire   +4 more sources

Fast Mode Decision for 3D-HEVC Depth Intracoding

open access: yesThe Scientific World Journal, 2014
The emerging international standard of high efficiency video coding based 3D video coding (3D-HEVC) is a successor to multiview video coding (MVC).
Qiuwen Zhang, Nana Li, Qinggang Wu
doaj   +1 more source

VIBE: Video Inference for Human Body Pose and Shape Estimation

open access: yes, 2020
Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D ...
Athanasiou, Nikos   +2 more
core   +1 more source

Analysis of User Requirements in Interactive 3D Video Systems

open access: yesAdvances in Human-Computer Interaction, 2012
The recent development of three dimensional (3D) display technologies has resulted in a proliferation of 3D video production and broadcasting, attracting a lot of research into capture, compression and delivery of stereoscopic content.
Haiyue Yuan, Janko Ćalić, Ahmet Kondoz
doaj   +1 more source

Motion Capture Research: 3D Human Pose Recovery Based on RGB Video Sequences

open access: yesApplied Sciences, 2019
Using video sequences to restore 3D human poses is of great significance in the field of motion capture. This paper proposes a novel approach to estimate 3D human action via end-to-end learning of deep convolutional neural network to calculate the ...
Xin Min   +5 more
doaj   +1 more source

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