3D relevance feedback via multilevel relevance judgements

Visual Computer

Volumn 26, Issue 10, 2010, Pages 1321-1338

  Giorgi, D ^a   Frosini, P ^a   Spagnuolo, M ^a   Falcidieno, B ^b  

^a CNR   (Italy)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

3D retrieval; 3D similarity; Approximation; Pseudodistances; Relevance scale; User feedback

Indexed keywords

3D RETRIEVAL; 3D SIMILARITY; APPROXIMATION; PSEUDODISTANCES; RELEVANCE SCALE; USER FEEDBACK;

CONTENT BASED RETRIEVAL; FEEDBACK; SEARCH ENGINES;

THREE DIMENSIONAL;

EID: 78149411531     PISSN: 01782789     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00371-010-0524-0     Document Type: Conference Paper

References (53)

1. http://3d.csie.ntu.edu.tw/dynamic/3dretrieval/index.html
2. https://www.mturk.com/mturk/welcome
3. http://www.cs.jhu.edu/misha/
4. TOSCA = Toolbox for Surface Comparison and Analysis. Web: http://tosca.cs.technion. ac.il
5. Akgül, C., Sankur, B., Schmitt, F., Yemez, Y.: Density-based shape descriptors for 3D object retrieval. In: Proc. MRCS. LNCS, vol. 4105, pp. 322-329. Springer, Berlin (2006)
6. Akgül, C., Sankur, B., Yemez, Y., Schmitt, F.: Similarity learning for 3D object retrieval using relevance feedback and risk minimization. Int. J. Comput. Vis. 89(23), 392-407 (2010)
7. Albertoni, R., De Martino, M.: Asymmetric and contextdependent semantic similarity among ontology instances. J. Data Semant. 10, 1-30 (2008)
8. Atmosukarto, I., Leow, W., Huang, Z.: Feature combination and relevance feedback for 3D model retrieval. In: Proc. 11th Multimedia Modelling Conference, pp. 334-339 (2005)
9. Attene, M., Robbiano, F., Spagnuolo, M., Falcidieno, B.: Characterization of 3D shape parts for semantic annotation. Comput. Aided Design 41(10), 756-763 (2009)
10. Bang, H., Chen, T.: Feature space warping: an approach to relevance feedback. In: Proc. IEEE Int. Conf. on Image Processing, pp. 22-25 (2002)
11. Biasotti, S., De Floriani, L., Falcidieno, B., Frosini, P., Giorgi, D., Landi, C., Papaleo, L., Spagnuolo, M.: Describing shapes by geometrical- topological properties of real functions. ACM Comput. Surv. 40(4), 12:1-12:87
12. Biasotti, S., Falcidieno, B., Frosini, P., Giorgi, D., Landi, C., Marini, S., Patané, G., Spagnuolo, M.: 3d shape description and matching based on properties of real functions. In: Eurographics 2007 Tutorial Notes, pp. 1025-1074. The Eurographics Association, Geneve (2007)
13. Biasotti, S., Giorgi, D., Spagnuolo, M., Falcidieno, B.: Size functions for comparing 3D models. Pattern Recognit. 41, 2855-2873 (2008)
14. Bronstein, A. M., Bronstein, M. M., Kimmel, R.: Numerical Geometry of Nonrigid Shapes. Springer, Berlin (2008)
15. Bronstein, M. M., Bronstein, A. M., Kimmel, R., Yavneh, I.: Multigrid multidimensional scaling. Numer. Linear Algebra Appl. 36 (2-3), 149-171 (2006). Special issue on multigrid methods
16. Bustos, B., Keim, D., Saupe, D., Schrek, T., Vranic, D.: Featurebased similarity search in 3D object databases. ACM CSUR 37(4), 345-387 (2005)
17. Chaouch, M., Verroust-Blondet, A.: 3D model retrieval based on depth line descriptor. In: Proc. ICME'07. IEEE (2007)
18. Chen, D., Ouhyoung, M., Tian, X., Shen, Y.: On visual similarity based 3D model retrieval. Comput. Graph. Appl. 22, 223-232 (2003)
19. Datta, R., Joshi, D., Li, J., Wang, J.: Image retrieval: ideas, influences and trends of the new age. ACM Comput. Surv. 40(2), 1-60 (2008)
20. Del Bimbo, A., Pala, P.: Content-based retrieval of 3D models. ACM Trans. Multimedia Comput. Commun. Appl. 2(1), 20-43 (2006)
21. Elad, A., Kimmel, R.: On bending invariant signatures for surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 25(10), 1285-1295 (2003)
22. Elad, M., Tal, A., Ar, S.: Content-based retrieval of VRML objects-an iterative and interactive approach. In: Proc. EG Multimedia, pp. 97-108 (2001)
23. Escolano, F., Suau, P., Bonev, B.: Information Theory in Computer Vision and Pattern Recognition. Springer, Berlin (2009)
24. Falcidieno, B., Spagnuolo, M.: The Role of Ontologies for 3D Media Applications. Springer, London (2007), pp. 185-205
25. Falcidieno, B., Spagnuolo, M., Alliez, P., Quak, E., Vavalis, E., Houstis, C.: Towards the semantics of digital shapes: the AIM@SHAPE approach. In: Proc. EWIMT2004-European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, pp. 1-4 (2004)
26. Frosini, P., Landi, C.: Size theory as a topological tool for computer vision. Pattern Recognit. Image Anal. 9, 596-603 (1999)
27. Funkhouser, T., Min, P., Kazhdan, M., Chen, J., Halderman, A., Dobkin, D.: A search engine for 3D models. ACM Trans. Graph. 22(1), 83-105 (2003)
28. Gandar, B., Loosli, G., Deffuant, G.: How to optimize sample in active learning: Dispersion, an optimum criterion for classification. In: Proc. Conférence europénne ENBIS, (2009)
29. Giorgi, D., Attene, M., Patané, G., Marini, S., Pizzi, C., Biasotti, S., Spagnuolo, M., Falcidieno, B., Corvi, M., Usai, L., Roncarolo, L., Garibotto, G.: A critical assessment of 2D and 3D face recognition algorithms. In: Proc. AVSS 2009:6th IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, pp. 79-84 (2009)
30. Giorgi, D., Biasotti, S., Paraboschi, L.: Watertight models track. Tech. Rep. IMATI-CNR-GE 09/07 (2007)
31. Giorgi, D., Frosini, P., Spagnuolo, M., Falcidieno, B.: Multilevel relevance feedback for 3D shape retrieval. In: Proc. 3DOR'09: Eurographics Workshop on 3D Object Retrieval, pp. 45-52 (2009)
32. Hu, B., Liu, Y., Gao, S., Hu, J., Sun, R.: A powerful partial relevance feedback for 3D model retrieval. J. Multimedia 4(3), 120-128 (2009)
33. Kazhdan, M., Funkhouser, T., Rusinkiewicz, S.: Rotation invariant spherical harmonic representation of 3D shape descriptors. In: Proc. SGP 2003: Eurographics Symposium on Geometry Processing, pp. 156-165 (2003)
34. Kherfi, M., Ziou, D., Bernardi, A.: Combining positive and negative examples in relevance feedback for content-based image retrieval. J. Vis. Commun. Image Represent 14(3), 428-547 (2006)
35. Koenderink, J.: Solid Shape. MIT Press, Cambridge (1990)
36. Leifman, G., Meir, R., Tal, A.: Semantic-oriented 3D shape retrieval using relevance feedback. Vis. Comput. 21, 865-875 (2005)
37. Leng, B., Qin, Z.: A powerful relevance feedback mechanism for content-based 3D model retrieval. Multimed. Tools Appl. 40, 135-150 (2008)
38. Martínez, J., Koenen, R., Pereira, F.: MPEG-7: the generic multimedia content description standard, part i. IEEE Multimed. 2, 78-87 (2002)
39. Novotni, M., Park, G. J., Wessel, R., Klein, R.: Evaluation of kernel based methods for relevance feedback in 3D shape retrieval. In: Proc. 4th International Workshop on Content-Based Multimedia Indexing (CBMI'05) (2005)
40. Onasoglou, E., Daras, P.: Semantic force relevance feedback, content free 3D object retrieval and annotation propagation: bridging the gap and beyond. Multimed. Tools Appl. 39, 217-241 (2008)
41. Papadakis, P., Pratikakis, I., Trafalis, T., Theoharis, T., Perantonis, S.: Relevance feedback in content-based 3D object retrieval: a comparative study. CAD Appl. 5(5), 753-763 (2008)
42. Rocchio, J.: Relevance Feedback in Information Retrieval. Prentice Hall, New York (1971)
43. Rosman, G., Bronstein, M. M., Bronstein, A. M., Kimmel, R.: Topologically constrained isometric embedding. Hum. Motion, Underst. Model. Capture Animat. Comput. Imaging Vis. 36(2), 243-262 (2008)
44. Rui, Y., Wang, T., Ortega, M., Methotra, S.: Relevance feedback: a power tool in interactive content-based image retrieval. IEEE Trans. Circuits Syst. Video Technol. 8(5), 644-655 (1998) (Pubitemid 128743730)
45. Salton, G.: Introduction to Modern Information Retrieval. Mc-Graw, New York (1983)
46. Smeulders, A., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22(12), 1349-1380 (2000)
47. Tangelder, J., Veltkamp, R.: A survey of content-based 3D shape retrieval methods. Multimed. Tools Appl. 39(3), 441-471 (2008)
48. Tung, T., Schmitt, F.: The augmented multiresolution Reeb graph approach for content-based retrieval of 3D shapes. IJSM 11(1) (2005)
49. Veltkamp, R., ter Haar, F.: 3D shape retrieval contest. Tech. Rep. UU-CS-2007-015 (2007)
50. Wu, H., Lu, H., Ma, S.: Willhunter: Interactive image retrieval with multilevel relevance measurement. In: Proc. IEEE Int. Conf. on Image Processing, pp. 22-25 (2002)
51. Wu, H., Lu, H., Ma, S.: Multilevel relevance judgement, loss function and performance measure in image retrieval. In: Proc. CIVR. LNCS, vol. 2728. Springer, Berlin (2003)
52. Zarpalas, D., Daras, P., Axenopoulos, A., Tzovaras, D., Strintzis, M.: 3D model search and retrieval using the spherical trace transform. EURASIP J. Adv. Signal Process. (2007). doi:10.1155/2007/23912 (Pubitemid 46094447)
53. Zhou, X., Thomas, S.: Relevance feedback in image retrieval: a comprehensive review. Multimedia Syst. 5(8), 536-544 (2003)