Everyone deals with multimedia at every walk of lives. Therefore, it is more challenging fact how to organize and structure these huge multimedia information so that we can get information easily at any point of time. Hence, together with the mechanisms for storing and processing in multimedia databases, retrieval of those stored images/videos is always a question in the area. Hence, it gives some methods/approaches used to come up to an efficient retrieval system together with the limitations/challenges and the evaluation mechanisms used. An efficient online system have been done, and hence still some techniques/ methods are needed to adapt those techniques in enterprise levels.Still, some survey is going to address challenges, techniques and evaluation, methods used in multimedia retrieval system.

1. Brown L. and Gruenwald L., "Tree-Based Indexes for Image Data", JVCIR, 1998.
2. Chakrabarti K, “The Hybrid Tree: An Index Structure for High Dimensional Feature Spaces”, IEEE ICDE 1999.
3. Ronald Fagin, “Fuzzy Queries in Multimedia Database Systems”, ACM PODS 1998.
4. C. Ribeiro, G. David and C. Calistru, “A multimedia database workbench for content and context retrieval", IEEE 6th Workshop onMultimedia Signal Processing, 2004
5. Z. Kemp, “Multimedia and spatial information systems,” IEEE Multimedia, Vol. 2, No. 4, 1995
6. R. Zhao and W. I. Grosky, “Narrowing the semantic gap— improved textbased web document retrieval using visual features,” IEEE Transactions on MultiMedia, vol. 4, no. 2, pp. 189–200, 2002.
7. B-F. Wang, “Finding a k–Tree Core and a k- Tree Center of a Tree Network in Parallel”, IEEE Transactions on Parallel and Distributed Systems, Vol. 9, Issue 2 , 1998, p. 186–191
8. P. Piamsa-nga, N. Alexandridis, G. Blankenship, G. Papakonstantinou, P. Tsanakas, and S. Tzafestas, “A Unified Model for Multimedia Retrieval by Content”, International Conference on Computer and Their Application (CATA98), 1998
9. M. Dobrescu, “Distributed Image Processing Techniques for Multimedia Applications”, Ph.D. Thesis, Politehnica Univ. of Bucharest, 2005
10. M. Dobrescu and S. Mocanu, “Resource management for real time parallel processing in a distributed system”, WSEAS Transactions on Computers, Issue 3, vol.2, 2004, p.732–737
11. A. Grama, A. Gupta, G. Karpys and V. Kumar, Introduction to Parallel Computing, Prentice Hall, 2003
12. G. Riley, M. Ammar, R.Fujimoto, A. Park, K. Perumalla and D. Xu, “A Federated Approach to Distributed Network Simulation”, ACM Trans. On Modeling and Computer Simulation (TOMACS), Vol. 14(2), April 2004
13. Matei Dobrescu, Manuela Stoian, Cosmin Leoveanu “Parallel Processing Algorithms for Content-based Retrieval from a Multimedia DATABASE” 7th WSEAS Int. Conf. on Informatics (TELE-INFO '08), Istanbul, Turkey, May 27–30, 2008
14. Y. Alp Aslandogan and Clement T. Yu, “Techniques and Systems for Image and Video Retrieval” IEEE Transactions ON Knowledge and data Engineering, VOL. 11, NO. 1, January/February 1999
15. Umer Rashid, Iftikhar Azim Niaz, Muhammad Afzal Bhatti“M3L: Architecture for Multimedia Information Retrieval ” 2009 Sixth International Conference on Information Technology: New Generations
16. Monica Vlădoiu, Cătălina Negoiţă,“Multi-dimensional Access and Storage Methods for Multimedia ”, BULETINUL Universităţii Petrol – Gaze din Ploieşti Vol. LVIII No. 2/2006
17. C.C. Hsu, W.W. Chu, and R.K. Taira, ªA Knowledge-Based Approach for Retrieval Images by Content,IEEE Trans. Knowledge and Data Eng., vol. 8, no. 4, pp. 522–532, Aug. 1996.

layer based Multimedia M3L nonvisual features Visual feature