Image transfer: an end-to-end design
SIGCOMM '92 Conference proceedings on Communications architectures & protocols
Fast lossy Internet image transmission
Proceedings of the third ACM international conference on Multimedia
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Fast parallel similarity search in multimedia databases
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Similarity query processing using disk arrays
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
An image transport protocol for the Internet
ICNP '00 Proceedings of the 2000 International Conference on Network Protocols
iDistance: An adaptive B+-tree based indexing method for nearest neighbor search
ACM Transactions on Database Systems (TODS)
Semantics and CBIR: a medical imaging perspective
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Text-Based and Content-Based Image Retrieval on Flickr: DEMO
SISAP '09 Proceedings of the 2009 Second International Workshop on Similarity Search and Applications
Indexing multi-dimensional data in a cloud system
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
A robust image transmission scheme for wireless channels based on compressive sensing
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Content-based medical image retrieval in peer-to-peer systems
Proceedings of the 1st ACM International Health Informatics Symposium
FIRE in ImageCLEF 2005: combining content-based image retrieval with textual information retrieval
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Compound image compression for real-time computer screen image transmission
IEEE Transactions on Image Processing
HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
An architecture for personalized health information retrieval
Proceedings of the 2012 international workshop on Smart health and wellbeing
Efficient stochastic algorithms for document clustering
Information Sciences: an International Journal
Speeding-up codon analysis on the cloud with local MapReduce aggregation
Information Sciences: an International Journal
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This paper presents an efficient and robust content-based large medical image retrieval method in mobile Cloud computing environment, called the Mirc. The whole query process of the Mirc is composed of three steps. First, when a clinical user submits a query image I"q, a parallel image set reduction process is conducted at a master node. Then the candidate images are transferred to the slave nodes for a refinement process to obtain the answer set. The answer set is finally transferred to the query node. The proposed method including an priority-based robust image block transmission scheme is specifically designed for solving the instability and the heterogeneity of the mobile cloud environment, and an index-support image set reduction algorithm is introduced for reducing the data transfer cost involved. We also propose a content-aware and bandwidth-conscious multi-resolution-based image data replica selection method and a correlated data caching algorithm to further improve the query performance. The experimental results show that the performance of our approach is both efficient and effective, minimizing the response time by decreasing the network transfer cost while increasing the parallelism of I/O and CPU.