Image retrieval: Ideas, influences, and trends of the new age
We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …
as an emerging technology. While the last decade laid foundation to such promise, it also …
Real-time computerized annotation of pictures
Automated annotation of digital pictures has been a highly challenging problem for
computer scientists since the invention of computers. The capability of annotating pictures by …
computer scientists since the invention of computers. The capability of annotating pictures by …
Content-based image retrieval: approaches and trends of the new age
The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …
This has paved the way for a large number of new techniques and systems, and a growing …
Active learning in multimedia annotation and retrieval: A survey
Active learning is a machine learning technique that selects the most informative samples for
labeling and uses them as training data. It has been widely explored in multimedia research …
labeling and uses them as training data. It has been widely explored in multimedia research …
A review of content-based image retrieval
A comprehensive survey on patch recognition, which is a crucial part of content-based
image retrieval (CBIR), is presented. CBIR can be viewed as a methodology in which three …
image retrieval (CBIR), is presented. CBIR can be viewed as a methodology in which three …
[图书][B] Content-based image retrieval
V Tyagi - 2017 - Springer
Content-based image retrieval (CBIR), which is aimed to search images from a large size
image database based on visual contents of images in an efficient and accurate way as per …
image database based on visual contents of images in an efficient and accurate way as per …
Semantic-gap-oriented active learning for multilabel image annotation
User interaction is an effective way to handle the semantic gap problem in image annotation.
To minimize user effort in the interactions, many active learning methods were proposed …
To minimize user effort in the interactions, many active learning methods were proposed …
SVM-based active feedback in image retrieval using clustering and unlabeled data
In content-based image retrieval, relevance feedback is studied extensively to narrow the
gap between low-level image feature and high-level semantic concept. However, most …
gap between low-level image feature and high-level semantic concept. However, most …
Active power—Voltage control scheme for islanding operation of inverter-interfaced microgrids
Z Jiang, X Yu - 2009 IEEE Power & Energy Society General …, 2009 - ieeexplore.ieee.org
Efficient and effective use of renewable energy, distributed generation and energy storage
can potentially solve global problems such as energy crisis and climate change. A promising …
can potentially solve global problems such as energy crisis and climate change. A promising …
Instance-based relevance feedback for image retrieval
F Roli - Advances in neural information processing …, 2004 - proceedings.neurips.cc
High retrieval precision in content-based image retrieval can be attained by adopting
relevance feedback mechanisms. These mechanisms require that the user judges the …
relevance feedback mechanisms. These mechanisms require that the user judges the …