Www.monash.edu.au An Improved Shape Descriptor Using Bezier Curves Authors: Ferdous Ahmed Sohel Dr. Gour Chandra Karmakar Professor Laurence Sean Dooley.

Slides:



Advertisements
Similar presentations
Indexing DNA Sequences Using q-Grams
Advertisements

Data Compression CS 147 Minh Nguyen.
Fast Algorithms For Hierarchical Range Histogram Constructions
Automatic Video Shot Detection from MPEG Bit Stream Jianping Fan Department of Computer Science University of North Carolina at Charlotte Charlotte, NC.
Energy Characterization and Optimization of Embedded Data Mining Algorithms: A Case Study of the DTW-kNN Framework Huazhong University of Science & Technology,
Department of electrical and computer engineering An Equalization Technique for High Rate OFDM Systems Mehdi Basiri.
Sang-Chun Han Hwangjun Song Jun Heo International Conference on Intelligent Hiding and Multimedia Signal Processing (IIH-MSP), Feb, /05 Feb 2009.
Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.
Content-based Image Retrieval CE 264 Xiaoguang Feng March 14, 2002 Based on: J. Huang. Color-Spatial Image Indexing and Applications. Ph.D thesis, Cornell.
CSCI 3 Chapter 1.8 Data Compression. Chapter 1.8 Data Compression  For the purpose of storing or transferring data, it is often helpful to reduce the.
A Hybrid Test Compression Technique for Efficient Testing of Systems-on-a-Chip Aiman El-Maleh King Fahd University of Petroleum & Minerals, Dept. of Computer.
Automatic Key Video Object Plane Selection Using the Shape Information in the MPEG-4 Compressed Domain Berna Erol and Faouzi Kossentini, Senior Member,
A Generic Shape Descriptor using Bezier Curves Presenting by – Dr. Manzur Murshed Authors – Ferdous Ahmed Sohel Dr. Gour C. Karmakar Prof. Laurence S.
The Tornado Model: Uncertainty Model for Continuously Changing Data Byunggu Yu 1, Seon Ho Kim 2, Shayma Alkobaisi 2, Wan Bae 2, Thomas Bailey 3 Department.
A Geometric-Primitives-Based Compression Scheme for Testing Systems-on-a-Chip Aiman El-Maleh 1, Saif al Zahir 2, Esam Khan 1 1 King Fahd University of.
1 © 2010 Cengage Learning Engineering. All Rights Reserved. 1 Introduction to Digital Image Processing with MATLAB ® Asia Edition McAndrew ‧ Wang ‧ Tseng.
1 Embedded colour image coding for content-based retrieval Source: Journal of Visual Communication and Image Representation, Vol. 15, Issue 4, December.
On Packetization of Embedded Multimedia Bitstreams Xiaolin Wu, Samuel Cheng, and Zixiang Xiong IEEE Transactions On Multimedia, March 2001.
3D Thinning on Cell Complexes for Computing Curve and Surface Skeletons Lu Liu Advisor: Tao Ju Master Thesis Defense Dec 18 th, 2008.
Lossless Compression Multimedia Systems (Module 2 Lesson 3)
Ameneh Sadat Yazdaninik
Signal Strength based Communication in Wireless Sensor Networks (Sensor Network Estimation) Imran S. Ansari EE 242 Digital Communications and Coding (Fall.
Huffman Coding Vida Movahedi October Contents A simple example Definitions Huffman Coding Algorithm Image Compression.
Introduction --Classification Shape ContourRegion Structural Syntactic Graph Tree Model-driven Data-driven Perimeter Compactness Eccentricity.
A VOICE ACTIVITY DETECTOR USING THE CHI-SQUARE TEST
Tracing and compressing digital curves András Hajdu Department of Computer Graphics and Image Processing Faculty of Informatics, University of Debrecen,
Frame by Frame Bit Allocation for Motion-Compensated Video Michael Ringenburg May 9, 2003.
MINING RELATED QUERIES FROM SEARCH ENGINE QUERY LOGS Xiaodong Shi and Christopher C. Yang Definitions: Query Record: A query record represents the submission.
Leslie Luyt Supervisor: Dr. Karen Bradshaw 2 November 2009.
Click to edit Present’s Name Xiaoyang Zhang 1, Jianbin Qin 1, Wei Wang 1, Yifang Sun 1, Jiaheng Lu 2 HmSearch: An Efficient Hamming Distance Query Processing.
RNA Secondary Structure Prediction Spring Objectives  Can we predict the structure of an RNA?  Can we predict the structure of a protein?
Raster Data Model.
Technical Seminar Presentation-2004 Presented by : ASHOK KUMAR SAHOO (EI ) NATIONAL INSTITUTE OF SCIENCE & TECHNOLOGY Presented By Ashok Kumar.
Scheduling Many-Body Short Range MD Simulations on a Cluster of Workstations and Custom VLSI Hardware Sumanth J.V, David R. Swanson and Hong Jiang University.
(Important to algorithm analysis )
Introduction to Interactive Media Interactive Media Components: Text.
Image Compression (Chapter 8) CSC 446 Lecturer: Nada ALZaben.
Adaptive Multi-path Prediction for Error Resilient H.264 Coding Xiaosong Zhou, C.-C. Jay Kuo University of Southern California Multimedia Signal Processing.
Ferdous A. Sohel, Prof. Laurence S. Dooley and Dr. Gour C. Karmakar Gippsland School of Computing and Information System Monash University, Churchill.
Code Size Efficiency in Global Scheduling for ILP Processors TINKER Research Group Department of Electrical & Computer Engineering North Carolina State.
FAST DYNAMIC QUANTIZATION ALGORITHM FOR VECTOR MAP COMPRESSION Minjie Chen, Mantao Xu and Pasi Fränti University of Eastern Finland.
Shape-based Similarity Query for Trajectory of Mobile Object NTT Communication Science Laboratories, NTT Corporation, JAPAN. Yutaka Yanagisawa Jun-ichi.
Online Kinect Handwritten Digit Recognition Based on Dynamic Time Warping and Support Vector Machine Journal of Information & Computational Science, 2015.
Introduction --Classification Shape ContourRegion Structural Syntactic Graph Tree Model-driven Data-driven Perimeter Compactness Eccentricity.
A survey of different shape analysis techniques 1 A Survey of Different Shape Analysis Techniques -- Huang Nan.
Advances in digital image compression techniques Guojun Lu, Computer Communications, Vol. 16, No. 4, Apr, 1993, pp
Event retrieval in large video collections with circulant temporal encoding CVPR 2013 Oral.
Data and Knowledge Engineering Laboratory Clustered Segment Indexing for Pattern Searching on the Secondary Structure of Protein Sequences Minkoo Seo Sanghyun.
STATISTIC & INFORMATION THEORY (CSNB134) MODULE 11 COMPRESSION.
A configuration method for structured P2P overlay network considering delay variations Tomoya KITANI (Shizuoka Univ. 、 Japan) Yoshitaka NAKAMURA (NAIST,
An Interval Classifier for Database Mining Applications Rakes Agrawal, Sakti Ghosh, Tomasz Imielinski, Bala Iyer, Arun Swami Proceedings of the 18 th VLDB.
CASA 2006 CASA 2006 A Skinning Approach for Dynamic Mesh Compression Khaled Mamou Titus Zaharia Françoise Prêteux.
1 What is Multimedia? Multimedia can have a many definitions Multimedia means that computer information can be represented through media types: – Text.
Motion Estimation Multimedia Systems and Standards S2 IF Telkom University.
ICCV 2007 National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Half Quadratic Analysis for Mean Shift: with Extension.
/ 24 1 Deploying Wireless Sensors to Achieve Both Coverage and Connectivity Xiaole Bai Santosh Kumar Dong Xuan Computer Science and Engineering The Ohio.
File Compression 3.3.
Automatic Video Shot Detection from MPEG Bit Stream
An array-based study of increased system lifetime probability
Data Compression.
Digital information encrypted in an image using binary encoding
OPTIMIZATION OF PLANAR TRUSS STRUCTURE USING FIREFLY ALGORITHM
Data Compression CS 147 Minh Nguyen.
Content-based Image Retrieval
© 2012 Elsevier, Inc. All rights reserved.
© 2012 Elsevier, Inc. All rights reserved.
Source: Information Sciences, 2018, accpeted.
Source: Pattern Recognition Letters, Article In Press, 2007
Password Policies to prevent reuse for online accounts
Forms.
Presentation transcript:

An Improved Shape Descriptor Using Bezier Curves Authors: Ferdous Ahmed Sohel Dr. Gour Chandra Karmakar Professor Laurence Sean Dooley Gippsland School of Information Technology

2 ISDBC: Presentation Outline Introduction. Existing Bezier curve based shape descriptors. Proposed ISDBC –Control point determination. –Control point coding. Results. Conclusions.

3 Introduction …0110…010100… Shape Descriptor Shape Coding: Applications:  Communication: Mobile multimedia communication, low bit rate coding.  Storage and retrieval: Digital library, indexing, digital archiving.  Interactive editing: Cartoons, digital films.

4 Existing shape descriptor using BC Object shape description by Cinque et al (1998).  Divides the shape into equal segments in terms of number of boundary points.  Easy and simple.  Considers encoding of the control points.  Does not consider the shape information.  The coding is not efficient.

5 Existing shape descriptor using BC Chinese calligraphic character descriptor by Yang et al (2001).  Uses trial-and-error methods.  The control points are highly depended on direction of the shape at the segment-ends.  Does not consider the encoding.  Allows the control point be out side the shape.  Considers the shape information.

6 Existing shape descriptor using BC Arabic character descriptor by Sarfraz and Khan (2002, 2003).  Does not consider the encoding.  Allows the control point be out side the shape.  Considers the shape information.  Optimally selects the control points in the distortion sense.

7 Existing shape descriptor using BC Active shape lip model by Shdaifa et al (2003).  Easy and simple.  The control points are highly depended on direction of the shape at the segment-ends.  Does not consider the encoding.  Allows the control point be out side the shape.

8 Existing shape descriptor using BC Generic shape descriptor by Sohel et al (2005).  Weak for the shapes having loops or repeated or branches.  Considers the shape information.  Uses efficient dynamic fixed length coding ( DFLC) method.  Control points are with in the range of shape points Also the algorithm by Cinque et al is weak for loops and branches!

9 Proposed ISDBC Control point calculation –Divide the shape into segments. –Find the significant points. –Insert supplementary points. –Form the potential control point set. –Determine the control points. Control points encoding –Encoded differentially by modified DFLC.

10 ISDBC For the i th segment |B i |: number of potential control points. b I : set of potential control points.

11 ISDBC Control point coding 1 st point l1l1 2*l 1 l1l1 lili 2*l i lili … ljlj 2*l j First SegmentNext segment…Last Segment  Distance between consecutive control points is periodic. 1 st point l2*lll l … l z (=4l): maximum number of potential control points of a segment.

12 ISDBC Dynamic fixed length coding (DFLC) —A combination of run-length code and chain code. —Encodes the control points differentially. —Differential Direction is encoded by 8-bits. —The distance is the run- length. P Q

13 ISDBC The complete shape descriptor 4- bit for length of L 1 1 st point Dir + L 1 Dir + L 2 Dir + L 1 Dir + L 1 Dir + L 2 Dir + L 1 …Dir + L 1 Dir + L 2 First SegmentNext segment…Last Segment  The starting 4 bits are reserved for the length of L 1.  ISDBC can encode a segment of up to 4*2 16 shape points.

14 Results Distortion measure [1] Class 1: Peak distortion (Max) Class 2: Mean Square distortion (MS) [1] F.A. Sohel, L.S. Dooley, and G.C. Karmakar, “Accurate distortion measurement for generic shape coding,” Pattern Recognition Letters, Elsevier Science Inc., in press, available on-line.

15 Results ISDBC

16 Results

17 Results Shape  BreamArabicLip Techniques  D max D MS D Max D MS D Max D MS ISDBC Sohel et al Cinque et al Sarfraz Yang et al Shdaifat et al Distortion in different shapes by the techniques.

18 Results Shape Techniques SR = 5SR = 6SR = 7SR =8 Bream ISDBC SDBC Cinque et al Lip ISDBC SDBC Cinque et al Bit requirements 20% improvement in the descriptor size. 23% reduction in the descriptor length for each additional segment.

19 Conclusion ISDBC utilises the domain specific shape information both in  Dividing the shape into segments  Determining the control points. Keeps the distortion lower. Efficiently encode the control points.

20 Thank you