The synergy of 3D SIFT and sparse codes for classification of viewpoints from echocardiogram videos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7723 LNCS, Issue , 2013, Pages 68-79

  Qian, Yu ^a   Wang, Lianyi ^b   Wang, Chunyan ^b   Gao, Xiaohong ^a  

^a MIDDLESEX UNIVERSITY   (United Kingdom)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

3D SIFT; Classification of Echocardiogram Video; Cuboid Detector; Sparse Coding; SVM

Indexed keywords

3D SIFT; ACCURACY RATE; ANATOMICAL STRUCTURES; AUTOMATIC CLASSIFICATION; HIGH NOISE; IMAGE SEQUENCE; LOW RESOLUTION; MAX-POOLING; MULTICLASS SVM; MULTIPLE SCALE; SIFT DESCRIPTORS; SPARSE CODES; SPARSE CODING; SVM; VIEW ANGLES; VIEW LOCATIONS;

COMPUTER AIDED DIAGNOSIS; CONTENT BASED RETRIEVAL; DECISION SUPPORT SYSTEMS; ECHOCARDIOGRAPHY; INFORMATION RETRIEVAL;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84874424795     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36678-9_7     Document Type: Conference Paper

References (19)

1. Syeda-Mahmood, T., Wang, F.: Characterizing Normal and Abnormal Cardiac Echo Motion Patterns. In: Computers in Cardiology, pp. 725-728 (2006)
2. Syeda-Mahmood, T., Wang, F., Beymer, D., London, M., Reddy, R.: Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part I. LNCS, vol. 4791, pp. 261-269. Springer, Heidelberg (2007)
3. Beymer, D., Syeda-mahmood, T.: Cardiac Disease Detection in Echocardiograms Using Spatio-temporal Statistical Models. In: Annual Conference of IEEE Engineering in Medicine and Biology Society, EMBS (2008)
4. Kumar, R., Wang, F., Beymer, D., Syeda-mahmood, T.: Cardiac Disease Detection from Echocardiogram using Edge Filtered Scale-Invariant Motion Features. In: IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA (2010)
5. Ebadollahi, S., Chang, S.F., Wu, H.: Automatic View Recognition in Echocardiogram Videos Using Parts-based Representation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2-9 (2004)
6. Beymer, D., Syeda-Mahmood, T., Wang, F.: Exploiting Spatio-temporal Information for View Recognition in Cardiac Echo Videos. In: IEEE Workshop on Mathematical Methods in Biomedical Imaging Analysis (MMBIA), pp. 1-8 (2008)
7. Kumar, R., Wang, F., Beymer, D., Syeda-mahmood, T.: Echocardiogram View Classification Using Edge Filtered Scale-invariant Motion Features. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 723-730 (2009)
8. Zhou, S.K., Park, J.H., Georgescu, B., Simopoulos, C., Otsuki, J., Comaniciu, D.: Image-based Multiclass Boosting and Echocardiographic View Classification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1559-1565 (2006)
9. Otey, M.E., Bi, J., Krishnan, S., Rao, B., Stoeckel, J.: Automatic View Recognition for Cardiac Ultrasound Images. In: Workshop on Computer Vision for Intravascular and Intracardiac Imaging, pp. 187-194 (2006)
10. Sivic, J., Zisserman, A.: Video Google: A Text Retrieval Approach to Object Matching in Videos. In: IEEE Conference on Computer Vision (ICCV), pp. 1470-1477 (2003)
11. Yang, J., Yu, K., Gong, Y., Huang, T.: Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1794-1801 (2009)
12. Wang, H., Ullah, M., Kläser, A., Laptev, I., Schmid, C.: Evaluation of Local Spatio-temporal Features for Action Recognition. In: British Machine Vision Conference (BMVC), pp. 127-137 (2009)
13. Stöttinge, J., Goras, B., Sebe, N., Hanbury, A.: Behavior and Properties of Spatio-temporal Local Features under Visual Transformations. In: ACM International Conference on Multimedia (ACMMM), pp. 1155-1158 (2010)
14. Laptev, I.: On Space-time Interest Points. IEEE International Journal on Computer Vision (IJCV), 107-123 (2005)
15. Willems, G., Tuytelaars, T., Van Gool, L.: An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 650-663. Springer, Heidelberg (2008)
16. Dollar, P., Rabaud, V., Cottrell, G., Belongie, S.: Behavior Recognition via Sparse Spatiotemporal Features. In: IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), pp. 65-72 (2005)
17. Kläser, A., Marszałek, M., Schmid, C.: A Spatio-Temporal Descriptor Based on 3D Gradients. In: British Machine Vision Conference (BMVC), pp. 995-1004 (2008)
18. Laptev, I., Marszałek, M., Schmid, C., Rozenfeld, B.: Learning Realistic Human Actions from Movies. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8 (2008)
19. Scovanner, P., Ali, S., Shah, M.: A 3-Dimensional SIFT Descriptor and Its Application to Action Recognition. In: ACM Conference on Multimedia, pp. 357-360 (2007)