Abstract
Starting from the 90’s, it was easily recognized that commonly adopted search paradigms were not enough to deal with at-the-time emerging novel DB applications, in which the presence of multimedia data and high dimensionality were both key aspects. In this paper we survey the research activity of our group in the last 25 years, therefore going through issues such as indexing, approximate query processing, and support for preference queries, which are now quite well understood. In doing this we also consider the need to provide the users with simple but powerful tools, able to smooth the processes of query creation/customization and of result interpretation. We complete with a look to the novel issues that the “Big Data” era brings to us.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
The (in-)famous “two tigers” example considers a user asking for an image containing two regions each representing a tiger: If a database image contains a single “tiger” region, it is not correct to match both query regions to the single “tiger” region of the database image, since, in this case, information on the number of query regions is lost.
- 2.
Clearly, also SAMs can be used for k-nearest neighbor queries, provided they can index objects’ features.
References
S. Ardizzoni, I. Bartolini, M. Patella, Windsurf: region-based image retrieval using wavelets, in IWOSS (Florence, Italy, 1999)
I. Bartolini, P. Ciaccia, MuSIQUE: a multi-system image querying user interface, in SEBD (Cetraro, Italy, 2003)
I. Bartolini, P. Ciaccia, Towards an effective semi-automatic technique for image annotation, in SEBD (Torre Canne, Italy, 2007)
I. Bartolini, P. Ciaccia, Imagination: exploiting link analysis for accurate image annotation, in AMR (Paris, France, 2007)
I. Bartolini, P. Ciaccia, Scenique: a multimodal image retrieval interface, in AVI (Naples, Italy, 2008)
I. Bartolini, P. Ciaccia, Multi-dimensional keyword-based image annotation and search, in KEYS (Indianapolis, IN, 2010)
I. Bartolini, P. Ciaccia, Automatically joining pictures to multiple taxonomies, in SEBD (Rimini, Italy, 2010)
I. Bartolini, M. Patella, Correct and efficient evaluation of region-based image search, in SEBD (L’Aquila, Italy, 2000)
I. Bartolini, M. Patella, A general framework for real-time analysis of massive multimedia streams (Submitted for publication, 2017)
I. Bartolini, P. Ciaccia, F. Waas, FeedbackBypass: a new approach to interactive similarity query processing, in VLDB (Rome, Italy, 2001)
I. Bartolini, P. Ciaccia, M. Patella, Distributed Aggregation Strategies for Preferences Queries, in SEBD (Portonovo, Italy, 2006)
I. Bartolini, P. Ciaccia, M. Patella, Adaptively browsing image databases with PIBE. MTAP 31(3), 269–286 (2006)
I. Bartolini, P. Ciaccia, V. Oria, M.T. Özsu, Flexible integration of multimedia sub-queries with qualitative preferences.MTAP 33(3), 275–300 (2007)
I. Bartolini, P. Ciaccia, M. Patella, Efficient sort-based skyline evaluation. ACM TODS 33(4), 1–45 (2008)
I. Bartolini, P. Ciaccia, M. Patella, Query processing issues in region-based image databases. KAIS 25(2), 389–420 (2010)
I. Bartolini, P. Ciaccia, M. Patella, Getting the best from uncertain data, in SEBD (Maratea, Italy, 2011)
I. Bartolini, Z. Zhang, D. Papadias, Collaborative filtering with personalized skylines. TKDE 23(2), 190–203 (2011)
I. Bartolini, P. Ciaccia, M. Patella, Getting the best from uncertain data: the correlated case, in SEBD (Venice, Italy, 2012)
I. Bartolini, M. Patella, G. Stromei, Efficiently managing multimedia hierarchical data with the windsurf library, in CCIS Series, vol. 314 (Springer, Berlin, 2012)
I. Bartolini, P. Ciaccia, M. Patella, The skyline of a probabilistic relation. IEEE TKDE 25(7), 1656–1669 (2013)
I. Bartolini, M. Patella, C. Romani, SHIATSU: tagging and retrieving videos without worries. MTAP 63(2), 357–385 (2013)
I. Bartolini, P. Ciaccia, M. Patella, Domination in the probabilistic world: computing skylines for arbitrary correlations and ranking semantics. ACM TODS 39(2), 14:1–14:45 (2014)
M. Batko, F. Falchi, et al., Building a web-scale image similarity search system. MTAP 47(3), 599–629 (2010)
S. Belongie, C. Carson, H. Greenspan, J. Malik, Color- and texture-based image segmentation using EM and its application to content-based image retrieval, in ICCV (Mumbai, India, 1998)
S. Börzsönyi, D. Kossmann, K. Stocker, The skyline operator, in ICDE (Heidelberg, Germany, 2001)
E. Chávez, G. Navarro, R. Baeza-Yates, J.L. Marroquín, Searching in metric spaces. ACM CSUR 33(3), 273–321 (2001)
J. Chen, C. Bouman, J. Dalton, Active browsing using similarity pyramids, in SPIE (San Jose, CA, 1999)
J. Chomicki, Querying with Intrinsic Preferences, in EDBT (Prague, Czech Republic, 2002)
J. Chomicki, P. Ciaccia, N. Meneghetti, Skyline queries, front and back SIGMOD Record 42(3), 6–18 (2013)
P. Ciaccia, M. Patella, PAC nearest neighbor queries: using the distance distribution for searching in high-dimensional metric spaces, in SEBD (Como, Italy, 1999)
P. Ciaccia, M. Patella, PAC nearest neighbor queries: approximate and controlled search in high-dimensional and metric spaces, in ICDE (San Diego, CA, 2000)
P. Ciaccia, M. Patella, Searching in metric spaces with user-defined and approximate distances. ACM TODS 27(4), 398–437 (2002)
P. Ciaccia, R. Torlone, Modeling the propagation of user preferences, in ER (Brussels, Belgium, 2011)
P. Ciaccia, M. Patella, F. Rabitti, P. Zezula, Indexing metric spaces with M-tree, in SEBD (Verona, Italy, 1997)
P. Ciaccia, M. Patella, P. Zezula, M-tree: an efficient access method for similarity search in metric spaces, in VLDB (Athens, Greece, 1997)
R. Datta, W. Ge, J. Li, J.Z. Wang, Toward bridging the annotation-retrieval gap in image search. IEEE Multimed. 14(3), 24–35 (2007)
R. Fagin, R. Guha et al., Multi-structural databases, in PODS (Baltimore, MD, 2005)
C. Faloutsos, R. Barber, et al., Efficient and effective querying by image content. JIIS 3(3/4), 231–262 (1994)
M. Flickner, H. Sawhney, et al., Query by image and video content: the QBIC system. IEEE Comput. 28(9), 23–32 (1995)
A. Graham, H. Garcia-Molina, A. Paepcke, T. Winograd, Time as essence for photo browsing through personal digital libraries, in JCDL (Portland, OR, 2002)
A. Guttman, R-Trees: a dynamic index structure for spatial searching, in SIGMOD (Boston, MA, 1984)
M. Hilbert, P. López, The world’s technological capacity to store, communicate, and compute information. Science 332(6025), 60–65 (2011)
A. Hinneburg, C.C. Aggarwal, D.A. Keim, What is the nearest neighbor in high dimensional spaces? in VLDB (Cairo, Egypt, 2000)
W. Hu, N. Xie, et al., A survey on visual content-based video indexing and retrieval. IEEE TSMC-C 41(6), 797–819 (2011)
W. Kießling, Foundations of preferences in database systems, in VLDB (Hong Kong, China, 2002)
J. Kleban, E. Moxley, J. Xu, B.S. Manjunath, Global annotation of geo-referenced photographs, in CIVR (Santorini, Greece, 2009)
J. Laaksonen, M. Koskela, S. Laakso, E. Oja, Self-organising maps as a relevance feedback technique in content-based image retrieval. PAA 2(4), 140–152 (2000)
J. Li, J.Z. Wang, Real-time computerized annotation of pictures, in MM (Santa Barbara, CA, 2006)
D.G. Lowe, Distinctive image features from scale-invariant keypoints. IJCV 60(2), 91–110 (2004)
C.D. Manning, P. Raghavan, H. Schütze, Introduction to Information Retrieval (Cambridge University Press, Cambridge, 2008)
O. Maron, A.L. Ratan, Multiple-instance learning for natural scene classification, in ICML (San Francisco, CA, 1998)
N. Meneghetti, D. Mindolin, P. Ciaccia, J. Chomicki, Output-sensitive evaluation of prioritized skyline queries, in SIGMOD (Melbourne, Australia, 2015)
D. Mitrović, M. Zeppelzauer, C. Breiteneder, Features for content-based audio retrieval. Adv. Comput. 78, 71–150 (2010)
P. Montanari, I. Bartolini et al., Looking for similar patterns in genomic sequences, in SEBD (Ugento, Italy, 2016)
P. Montanari, I. Bartolini, et al., Pattern similarity search in genomic sequences. TKDE 28(11), 3053–3067 (2016)
R. Navigli, Word sense disambiguation: a survey. ACM CSUR 41(2), 10 (2009)
M. Ortega, Y. Rui et al., Supporting similarity queries in MARS, in MM (Seattle, WA, 1997)
J.-Y. Pan, H. Yang, C. Faloutsos, P. Duygulu, Automatic multimedia cross-modal correlation discovery, in KDD (Seattle, WA, 2004)
M. Patella, P. Ciaccia, Approximate similarity search: a multi-faceted problem. JDA 7(1), 36–48 (2009)
A. Payne, S. Singh, A benchmark for indoor/outdoor scene classification, in ICAPR (Bath, UK, 2005)
A. Penta, A. Picariello, L. Tanca, Multimedia knowledge management using ontologies, in MS (Vancouver, BC, 2008)
A. Pentland, R.W. Picard, S. Sclaroff, Photobook: content-based manipulation of image databases. IJCV 18(3), 233–254 (1996)
Y. Rui, T.S. Huang, M. Ortega, S. Mehrotra, Relevance feedback: a power tool for interactive content-based image retrieval. IEEE TCSV 8(5), 644–655 1998
H. Samet, Foundations of Multidimensional and Metric Data Structures (Morgan Kaufmann, San Francisco, 2006)
S. Santini, R. Jain, Integrated browsing and querying for image databases. IEEE Multimed. 7(3), 26–39 (2000)
T. Seidl, H.-P. Kriegel, Efficient user adaptable similarity search in large multimedia databases, in VLDB (Athens, Greece, 1997)
A.W.M. Smeulders, M. Worring, et al., Content-based image retrieval at the end of the early years. IEEE TPAMI 22(12), 1349–1380 (2000)
M. Stricker, M. Orengo, Similarity of color images, in SPIE (San Jose, CA, 1995)
R. Torlone, P. Ciaccia, Finding the best when it’s a matter of preference, in SEBD (Portoferraio, Italy, 2002)
G. Trimponias, I. Bartolini, D. Papadias, D. Yang, Skyline processing on distributed vertical decompositions. IEEE TKDE 25(4), 850–862 (2013)
R. Tye, G. Nathaniel, N. Mor, Towards automatic extraction of event and place semantics from flickr tags, in SIGIR (Amsterdam, The Netherlands, 2007)
M. Wallace, K. Karpouzis, et al., The electronic road: personalized content browsing. IEEE Multimed. 10(3), 49–59 (2003)
L. Wang, L. Khan, Automatic image annotation and retrieval using weighted feature selection. MTAP 29(1), 55–71 (2006)
A. Yoshitaka, T. Ichikawa, A survey on content-based retrieval for multimedia databases. IEEE TKDE 11(1), 81–93 (1999)
P. Zezula, G. Amato, V. Dohnal, M. Batko, Similarity Search: The Metric Space Approach (Springer, Berlin, 2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Bartolini, I., Ciaccia, P., Patella, M. (2018). Multimedia, Similarity, and Preferences: Adding Flexibility to Your Information Needs. In: Flesca, S., Greco, S., Masciari, E., Saccà, D. (eds) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-61893-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-61893-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61892-0
Online ISBN: 978-3-319-61893-7
eBook Packages: EngineeringEngineering (R0)