IFQ: a visual query interface and query generator for object-based media retrieval

There are two major directions for image retrieval system development. The first direction is the direct manipulation of information using query languages, which are precise to computers but not user friendly. The second direction is the development of natural interfaces, such as query by image example. The latter approach has the advantage of better query visualization, but it usually yields a low precision because users' drawings may not be precise. IFQ (In Frame Query) is a visual user query interface for object-based media retrieval systems. It aims at not only providing a natural visual query interface but also supporting precise direct manipulation through automated query generation. Furthermore, IFQ gives users the flexibility of using combinations of semantic expressions, conceptual definitions, sketch, and image examples to pose queries.

[1]  J.C.R. Tseng,et al.  MQL-a query language for multimedia database , 1994, 5th IEEE COMSOC International Workshop on Multimedia Communications.

[2]  Amarnath Gupta,et al.  Virage image search engine: an open framework for image management , 1996, Electronic Imaging.

[3]  Vijay V. Raghavan,et al.  A Unified Approach to Data Modeling and Retrieval for a Class of Image Database Applications , 1996, Multimedia Database System: Issues and Research Direction.

[4]  Shih-Fu Chang,et al.  VisualSEEk: a fully automated content-based image query system , 1997, MULTIMEDIA '96.

[5]  J. Tseng,et al.  MQL - A Query Language for Multimedia Databases , 1994, ACM Multimedia.

[6]  K. Selçuk Candan,et al.  SEMCOG: an integration of SEMantics and COGnition-based approaches for image retrieval , 1997, SAC '97.

[7]  Yoshinori Hara,et al.  Content-oriented integration in hypermedia systems , 1996, HYPERTEXT '96.

[8]  Gultekin Özsoyoglu,et al.  VISUAL: a graphical icon-based query language , 1996, Proceedings of the Twelfth International Conference on Data Engineering.

[9]  Haruhiko Nishiyama,et al.  An image retrieval system considering subjective perception , 1994, CHI '94.

[10]  Michael Stonebraker,et al.  Chabot: Retrieval from a Relational Database of Images , 1995, Computer.

[11]  Vijay V. Raghavan,et al.  Content-Based Image Retrieval Systems - Guest Editors' Introduction , 1995, Computer.

[12]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.