A Real-Time Video Illustration Using CUDA

نویسندگان

  • Ji-Hyung Lee
  • Yoon-Seok Choi
  • Bon-Ki Koo
  • Chi-Jung Hwang
چکیده

According to advancements in video technology, there are lots of needs for various special effects of videos. The conventional image-transform effects could be applied to video streams, but non-photorealistic rendering effects are not easy to apply. For example, cartoon or illustration effects have expensive costs in video transformation which makes it difficult to execute in real-time. In this paper, we suggest a video transformation system with illustration effects. It is designed to apply the illustration effects to the video stream directly and is implemented to achieve real time performances using the GPU hardware with NVIDIA’s CUDA.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Real-time 3D Video Processing Using Multi-stream GPU Parallel Computing

This work presents a real-time video processing algorithm for 3D scenes using a graphics processor. The processing is based on parallel computing using concurrent kernels. The proposed algorithm processes individual pixels of each pair of input stereo images to obtain an anaglyph image for each frame. To reduce the computational time, a concurrent kernel implementation using POSIX threads and C...

متن کامل

Real-time Road Signs Recognition Using Mobile Gpu

This article shows an effective implementation of the algorithm for detection of road signs using video obtained by a camera installed in a vehicle. Road signs detection and recognition are implemented using CUDA and operate in real-time on a mobile GPU. Vehicle speed is used to predict the position of road signs in the adjacent frames in a video sequence. The experimental results confirmed the...

متن کامل

fastHOG - a real-time GPU implementation of HOG

We introduce a parallel implementation of the histogram of oriented gradients algorithm for object detection. Our implementation uses the GPU and the NVIDIA CUDA framework. We achieve speedups of over 67x from the standard sequential code, using a single video card. Furthermore it supports multiple video cards so speedups of 120x or more can be achieved. This allows us to achieve real-time perf...

متن کامل

Off-axis quantitative phase imaging processing using CUDA: toward real-time applications

We demonstrate real time off-axis Quantitative Phase Imaging (QPI) using a phase reconstruction algorithm based on NVIDIA's CUDA programming model. The phase unwrapping component is based on Goldstein's algorithm. By mapping the process of extracting phase information and unwrapping to GPU, we are able to speed up the whole procedure by more than 18.8× with respect to CPU processing and ultimat...

متن کامل

A Method to Reduce Effects of Packet Loss in Video Streaming Using Multiple Description Coding

Multiple description (MD) coding has evolved as a promising technique for promoting error resiliency of multimedia system in real-time application programs over error-prone communicational channels. Although multiple description lattice vector quantization (MDCLVQ) is an efficient method for transmitting reliable data in the context of potential error channels, this method doesn’t consider disc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009