Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
An adaptive technique for content-based image retrieval
Multimedia Tools and Applications
Image retrieval on large-scale image databases
Proceedings of the 6th ACM international conference on Image and video retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
A Probabilistic Model for User Relevance Feedback on Image Retrieval
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Visual query suggestion: Towards capturing user intent in internet image search
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A relevant image search engine with late fusion: mixing the roles of textual and visual descriptors
Proceedings of the 16th international conference on Intelligent user interfaces
Can a workspace help to overcome the query formulation problem in image retrieval?
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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In the literature, it has been shown that relevance feedback is a good strategy for the system to interact with the user and provide better results in a content-based image retrieval (CBIR) system. On the other hand, there are many retrieval systems which suggest a refinement of the query as the user types, which effectively helps the user to obtain better results with less effort. Based on these observations, in this work we propose to add a suggested query refinement as a complement in an image retrieval system with relevance feedback. Taking advantage of the nature of the relevance feedback, in which the user selects relevant images, the query suggestions are derived using this relevance information. From the results of an evaluation performed, it can be said that this type of query suggestion is a very good enhancement to the relevance feedback scheme, and can potentially lead to better retrieval performance and less effort from the user.