Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimedia Search: Ready or Not?
IEEE Distributed Systems Online
Ad Hoc Image Retrieval Using Hierarchical Semantic-Based Index
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Next-Generation Multimedia Database Retrieval
IEEE MultiMedia
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database
IEEE Transactions on Image Processing
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With the rapid development of multimedia technology, web images have become increasingly available and it constitutes a significant component of multimedia contents on the Internet. Since Web images can be represented in various formats and dimensions, searching such information are far more challenging than text-based search. While some basic forms of image retrieval are available on the Internet, these tend to be inflexible and have significant limitations. Currently, most of these image retrieval systems only rely on shallow image information (e.g., text annotation, metadata, color, etc.). Here, we present an approach for deep concept-based image retrieval, which focuses on high-level human perception, incorporating subtle nuances and emotional impressions on the images. We also propose a user-interactive and innovative adaptive method for image search that overcomes the current limitations.