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1 RaVioli
2 i RaVioli CPU RaVioli RaVioli CPU RaVioli RaVioli RaVioli RaVioli
3 RaVioli RaVioli RaVioli RV TileImage
4
5 1 1 OS 1/30 1/60 1 CPU OS RaVioli Resolution-Adaptable Video and Image Operating Library [1, 2] RaVioli CPU (1 ) ( ) 1 RaVioli RaVioli
6 2 2 RaVioli RaVioli Garcia-Martin [3] Kim [4] Lin [5] OS CPU 1 CPU Imprecise Computation Model[6] [7] RaVioli CPU
7 VIGRA[8] OpenCV[9, 10] VIGRA C++ STL OpenCV C C++ [11] RaVioli Halide[12] Halide RaVioli[1, 2] RaVioli RaVioli 2.2 RaVioli RaVioli RaVioli
8 4 for(x=0; x<640; x++){ for(y=0; y<480; y++){ int luma=(img[x][y].r +img[x][y].g +img[x][y].b)/3; img[x][y].r=luma; img[x][y].g=luma; img[x][y].b=luma; } } 1: for RaVioli 2 1 RaVioli 1 RaVioli 1
9 5 構成要素関数 void GrayScale(RV_Pixel*Pix){ int luma; luma= (int)( (Pix-> getr() +Pix-> getg() +Pix->getB()) / 3); Pix -> setrgb(luma, luma, luma); } 高階メソッド procpix procnbr proctpl RV_Image img 100% 100% void main(){ RV_Image*img; img-> procpix(grayscale); } : RaVioli RaVioli RaVioli RaVioli RaVioli 2 RaVioli RV Image RV Image RaVioli 2 RV Image img procpix() GrayScale() procpix() img GrayScale()
10 6 void Grayscale(RV_Pixel*Pix){ Grayscale } void GrayImage(RV_Image*img){ RV_Image obj 高階メソッド procpix 高階メソッド procfrm RV_Image obj RV_Streaming obj } void main(){ RV_Streaming *obj; obj->procfrm(grayimage); } procmltfrm 3: RaVioli RaVioli 3 RV Image RaVioli RV Streaming RV Streaming RV Image 3 GrayImage() RV Image OS CPU OS
11 7 S S : spatial stride : pixels processed S S = 1 S S = 2 S S = 3 4: RaVioli CPU RaVioli 1 (S S ) (S T ) 4 S S = 1 S S = 2 1 S S = 1 1/4 S S = 3 1/ S T = 1 S T = 2 1 S T = 1 1/2 S T = 3 1/3 RaVioli
12 8 S T : temporal stride frames processed S T = 1 S T = 2 S T = 3 5: 2 (P S, P T ) P S P T (P S, P T ) = (1, 3) RaVioli 3 : RaVioli RaVioli CPU 2
13 9 侵入者 侵入者を検知 6: 7: CPU RaVioli RaVioli
14 10 フレーム 2 フレーム 1 時間軸 8: RaVioli
![11 ストリーム分割 SS[0][0]](/docs-images/94/118719461/images/15-1.jpg "ST[0][0] SS[0][1] ST[0][1]")
![SS ST 9: SS[1][0] ST[1][0]](/docs-images/94/118719461/images/15-3.jpg "SS[1][1] ST[1][1] 8 2 3.")
15 11 ストリーム分割 SS[0][0] ST[0][0] SS[0][1] ST[0][1] SS ST 9: SS[1][0] ST[1][0] SS[1][1] ST[1][1]
16 12 9 S S S T
17 13 次に変化が起きる可能性の高い領域 はじめの変化が起きる可能性の高い領域 10: 11: RaVioli RaVioli 12
18 14 12: 13: RaVioli RV TileImage RV TileImage RaVioli RV TileImage 14 RV TileImage RV Image 14 RV Image RV TileImage RV Image
19 15 RV_Image 画像の幅 画像の高さ 時間解像度ストライド 画像情報 空間解像度ストライド RV_TileImage RV_TileImage RV_TileImage RV_TileImage 画像情報へ領域の開始座標のポインタ画像情報へ領域の開始座標のポインタ画像情報へ領域の開始座標画像情報のポインタ領域の幅へのポインタ領域の幅 高さ領域の幅 高さ領域の幅 高さ領域の高さ時間解像度空間解像度時間解像度空間解像度ストライド時間解像度ストライド空間解像度ストライド時間解像度ストライド空間解像度ストライドストライドストライドストライド procpix procnbr procpix procnbr 判定関数へ領域ののポインタ判定関数へ開始座標のポインタ判定関数へのポインタ判定関数へのポインタ 14: RV TileImage RV TileImage RV TileImage RV TileImage RV TileImage RV TileImage RV Image 4.2,
20 16 ベースストライド ラフストライド ベースストライド ラフストライド S S = 1 S S = 2 15: S S = S S = 1 5/8 S S = S S = 1 S S = 2
21 17 ベースストライド ベースストライド ラフストライド S T = 1 S T = 2 ラフストライド 16: 5/32 5/8 S T = S T = 1 3/4 S T = S T = 1 S T = 2 3/8 3/4 CPU RaVioli
22 18 17: RaVioli 3
23 19 void Grayscale(RV_Pixel*Pix){ } Grayscale int FrameDiff(RV_Image* img, imgbfr){ /*calculate the difference between images*/ if(difference > threshold) return 1; else return 0; } procfrm procmltfrm setcndfunc RV_Streaming obj 18: 1 2 RaVioli 1 0, RaVioli 18 FrameDiff RaVioli x,y setcondfunc
24 C++ setcondfunc void setcondfunc(int(*condprogram)(rv Image* Fnow,RV Image* Fbfr)) Fnow 1 Fbfr CondProgram 2 void setcondfunc(int(*condprogram)(rv Image* Fnow)) Fnow CondProgram 1 void setcondfunc(int(*condprogram)(int x,int y)) CondProgram 4.3 RaVioli RaVioli main RaVioli RaVioli 19 main ForPixel ForImage main RV Streaming video (8 ) setpriority (9 ) video (10 ) video StreamProc ForImage (11 ) StreamProc
25 21 1 void ForPixel(RV_Pixel *pixel){ 2 /* */ 3 } 4 void ForImage(RV_Image* Frame){ 5 Frame->procPix(Program2); 6 } 7 int main(int argc, char* argv[]){ 8 RV_Streaming video; 9 video.setpriority(7,3); // 10 video.runcapture(); // 11 video.streamproc(program1); // 12 return 0; 13 } 19: RaVioli RV Image ForImage ForImage RV Image procpix ForPixel (5 ) RaVioli 13 FleshDetect main RaVioli video (13 ) (14 ) RV TileImage (15 ) settilepriority RaVioli
26 22 1 void ForPixel(RV_Pixel *pixel){ 2 /* */ 3 } 4 void ForImage(RV_Image* Frame){ 5 Frame->procPix(Program2); 6 } 7 int FleshDetect(RV_Image *Curr, RV_Image *Prev){ 8 /* */ 9 } 10 int main(int argc, char* argv[]){ 11 RV_Streaming video; 12 video.setpriority(7,3); // 13 video.setcondfunc(fleshdetect); // 14 video.settilenum(5,6); // 15 video.settilepriority(0,4,1,5); // 16 video.runcapture(); // 17 video.streamproc(program1); // 18 return 0; 19 } 20: 列行 :
27 23 1: OS Fedora15 CPU AMD Phenom II X4 965 Frequency 3.4GHz Memory 8GB Compiler gcc Compile options -O3 5 RaVioli RaVioli CPU 4 AMD Phenom II X O FrameDiff (P S, P T ) = (1, 1) 5.2 RaVioli RaVioli RaVioli 22 36, (a) RaVioli (b) RaVioli, (c)
28 24 (a) 既存手法 (a) 既存手法 (b) 提案手法 ( 優先領域なし ) (b) 提案手法 ( 優先領域なし ) (c) 提案手法 ( 優先領域あり ) 22: 36 (c) 提案手法 ( 優先領域あり ) 23: 80
29 25 4 空間 3 ベース 既存手法 提案手法 ( 優先領域なし ) 提案手法 ( 優先領域あり ) ストラ 2 イド 1 値 フレーム数 : RaVioli 24 25
30 26 時間ベースストライド値 既存手法 提案手法 ( 優先領域なし ) 提案手法 ( 優先領域あり ) フレーム数 25: RaVioli CPU RaVioli RaVioli RaVioli RV TileImage
31 27 GUI [1],,, : RaVioli, CVIM, Vol. 2, No. 1, pp (2009). [2] Sakurai, H., Ohno, M., Tsumura, T. and Matsuo, H.: RaVioli: a Parallel Video Processing Library with Auto Resolution Adjustability, Proc. IADIS Int l. Conf. Applied Computing 2009, Vol. 1, pp (2009). [3] Garcia-Martin, A. and Martinez, J. M.: Robust Real Time Moving People Detection in Surveillance Scenarios, Proc. 7th IEEE Int l Conf. on Advanced Video and Signal Based Surveillance (AVSS 10), IEEE Computer Society, pp (2010). [4] Kim, C., Han, Y., Seo, Y. and il Kang, H.: Statistical Pattern Based Real-time Smoke Detection Using DWT Energy, Proc. Int l Conf.on Information Science and Applications, IEEE Computer Society, pp. 1 7 (2011). [5] Lin, K., Huang, J., Chen, J. and Zhou, C.: Real-time Eye Detection in Video Streams, Proc. 4th Int l Conf. on Natural Computation, Vol. 06, IEEE Computer Society, pp (2008). [6] Liu, J., Shih, W.-K., Lin, K.-J., Bettati, R. and Chung, J.-Y.: Imprecise Computations, Proceedings of the IEEE, Vol. 82, pp (1994).
32 28 [7] Yoshimoto, H., Date, N., Arita, D. and Taniguchi, R.: Confidence-Driven Architecture for Real-time Vision Processing and Its Application to Efficient Visionbased Human Motion Sensing, Proc. 17th Int l. Conf. on Pattern Recognition (ICPR 04), Vol. 1, pp (2004). [8] Köthe, U.: Generische Programmierung für dir Bildverarbeitung, PhD Thesis, Universität Hamburg (2000). [9] Intel Corp.: Open Source Computer Vision Library (2001). [10] Bradski, G. and Kaehler, A.: Learning OpenCV: Computer Vision With the OpenCV Library, O Reilly & Associates Inc (2008). [11],, :,, Vol. 48, No. SIG 13(ACS 19), pp (2007). [12] Ragan-Kelley, J., Adams, A., Paris, S., Leboy, M., Amarasinghe, S. and Durand, F.: Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines, ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings, ACM (2012).
RaVioli SIMD
RaVioli SIMD 17 17115074 i RaVioli SIMD PC PC PC PC CPU RaVioli RaVioli CPU RaVioli CPU SIMD RaVioli RaVioli SIMD RaVioli SIMD RaVioli SIMD 1 1 2 RaVioli 2 2.1 RaVioli.......................................
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JAIST Reposi https://dspace.j Title ウェブページからのサイト情報 作成者情報の抽出 Author(s) 堀, 達也 Citation Issue Date 2015-09 Type Thesis or Dissertation Text version author URL http://hdl.handle.net/10119/12932 Rights Description
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