Results 231 to 240 of about 1,472,188 (296)

Video & graphics engine

International Conference on Consumer Electronics, 1996
This paper describes a new video & graphics engine, comprising of synchronous DRAM (SDRM) and newly developed LSl's for memory control, to realize high speed processing such as synthesis and zooming of video and computer output signals for display, and improvements of user interface for m illtimedia applications.
K. Asoh, H. Matoba
semanticscholar   +2 more sources

Broadening Video/Graphics Applications

SMPTE Journal, 1985
Etude des extensions du marche de la video a acces multiple, modification des caracteristiques de la production video, specifications de codage et transmissions cryptees, considerations ...
E. Leonard
semanticscholar   +2 more sources

MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

International Conference on Computer Graphics and Interactive Techniques, 2023
Motions in a video primarily consist of camera motion, induced by camera movement, and object motion, resulting from object movement. Accurate control of both camera and object motion is essential for video generation.
Zhouxia Wang, Ziyang Yuan, Xintao Wang, Yaowei Li, Tianshui Chen, Menghan Xia, Ping Luo, Ying Shan   +7 more
semanticscholar   +1 more source

Quarter Video Graphics Array Digital Pixel Image Sensing With a Linear and Wide- Dynamic-Range Response by Using Pixel-Wise 3-D Integration

IEEE Transactions on Electron Devices, 2019
We have developed a quarter video graphics array (QVGA) digital pixel image sensor by using the 3-D integration technology. The pulse-frequency modulation (PFM) analog-to-digital converter (ADC) operates as a digital pixel, which overcomes the signal ...
M. Goto, Y. Honda, T. Watabe, K. Hagiwara, M. Nanba, Y. Iguchi, T. Saraya, M. Kobayashi, E. Higurashi, H. Toshiyoshi, T. Hiramoto   +10 more
semanticscholar   +1 more source

Implications of Digital Video Graphics

SMPTE Journal, 1977
E. Leonard
semanticscholar   +2 more sources

Object Detection in Video with Graphical Models

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
In this paper, we propose a general object detection framework which combines the hidden Markov model with the discriminative random fields. Recent object detection algorithms have achieved impressive results by using graphical models, such as Markov random field. These models, however, have only been applied to two dimensional images.
David Liu 0001, Tsuhan Chen
openaire   +1 more source

The graphic video generator

Computer, 1973
The widespread use of minicomputers in widely diverse applications has resulted in the need for many peripheral devices to allow user communication with the machine. Data passing from the computer to the operator may be in the form of paper tape, punch cards, line printer listing, voice output, and video display to name but a few.
openaire   +1 more source

Graphics and Scene Text Classification in Video

2014 22nd International Conference on Pattern Recognition, 2014
Achieving good accuracy for text detection and recognition is a challenging and interesting problem in the field of video document analysis because of the presences of both graphics text that has good clarity and scene text that is unpredictable in video frames.
Jiamin Xu, Palaiahnakote Shivakumara, Tong Lu 0002, Trung Quy Phan, Chew Lim Tan   +4 more
openaire   +1 more source

Video segmentation based on graphical models

2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field, the intensity segmentation field, and the video segmentation field.
Yang Wang 0002, Tele Tan, Kia-Fock Loe
openaire   +1 more source

DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models

Computer Vision and Pattern Recognition
Understanding and modeling lighting effects are fundamental tasks in computer vision and graphics. Classic physically-based rendering (PBR) accurately simulates the light transport, but relies on precise scene representations–explicit 3D geometry, high ...
Ruofan Liang, Zan Gojcic, Huan Ling, Jacob Munkberg, J. Hasselgren, Zhihui Lin, Jun Gao, Alexander Keller, Nandita Vijaykumar, Sanja Fidler, Zian Wang   +10 more
semanticscholar   +1 more source