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179
Enabling public verifiability and data dynamics for storage security in cloud computing
- in Proc. of ESORICS’09, Saint
, 2009
"... Abstract. Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about man ..."
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Cited by 177 (10 self)
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features in our protocol design. In particular, to achieve efficient data dynamics, we improve the Proof of Retrievability model [1] by manipulating the classic Merkle Hash Tree (MHT) construction for block tag authentication. Extensive security and performance analysis show that the proposed scheme
Kernelized locality-sensitive hashing for scalable image search
- IEEE International Conference on Computer Vision (ICCV
, 2009
"... Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance functions into a low-dimensional Hamming space where items can be efficiently searched. However, existing methods do not apply ..."
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Cited by 163 (5 self)
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wide class of useful similarity functions. Since a number of successful image-based kernels have unknown or incomputable embeddings, this is especially valuable for image retrieval tasks. We validate our technique on several large-scale datasets, and show that it enables accurate and fast performance
Dissertation TOPIC MODELS FOR IMAGE RETRIEVAL ON LARGE-SCALE DATABASES
"... With the explosion of the number of images in personal and on-line collections, efficient techniques for navigating, indexing, labeling and searching images become more and more important. In this work we will rely on the image content as the main source of information to retrieve images. We study t ..."
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we present a complete image retrieval system based on topic models and evaluate the suitability of different types of topic models for the task of large-scale retrieval on real-world databases. Different similarity measure are evaluated in a retrieval-by-example task. Next, we focus
Large-Scale Decentralized Object Store
"... Massive-scale distributed computing is a challenge at our doorstep. The volume of data quadruples every 18 months, while the available performance per processor doubles in the same time period [Ski01]. Handling very large amounts of data tends to prevent their centralized storage and processing maki ..."
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Massive-scale distributed computing is a challenge at our doorstep. The volume of data quadruples every 18 months, while the available performance per processor doubles in the same time period [Ski01]. Handling very large amounts of data tends to prevent their centralized storage and processing
Learning binary hash codes for large-scale image search
- MACHINE LEARNING FOR COMPUTER VISION
, 2013
"... Algorithms to rapidly search massive image or video collections are critical for many vision applications, including visual search, content-based retrieval, and non-parametric models for object recognition. Recent work shows that learned binary projections are a powerful way to index large collect ..."
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Cited by 10 (0 self)
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Algorithms to rapidly search massive image or video collections are critical for many vision applications, including visual search, content-based retrieval, and non-parametric models for object recognition. Recent work shows that learned binary projections are a powerful way to index large
Region Templates: Data Representation and Management for Large-Scale Image Analysis
"... Distributed memory machines equipped with CPUs and GPUs (hybrid comput-ing nodes) are hard to program because of the multiple layers of memory and heterogeneous computing configurations. In this paper, we introduce a region template abstraction for the efficient management of common data types used ..."
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in analysis of large datasets of high resolution images on clusters of hybrid com-puting nodes. The region template provides a generic container template for common data structures, such as points, arrays, regions, and object sets, within a spatial and temporal bounding box. The region template abstraction
Large Scale Image Retrieval Using Vector of Locally Aggregated Descriptors
"... Abstract. Vector of locally aggregated descriptors (VLAD) is a promis-ing approach for addressing the problem of image search on a very large scale. This representation is proposed to overcome the quantization er-ror problem faced in Bag-of-Words (BoW) representation. However, text search engines ha ..."
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Cited by 1 (1 self)
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. In this paper, we propose to enable inverted files of standard text search engines to exploit VLAD representation to deal with large-scale image search scenarios. We show that the use of inverted file with VLAD sig-nificantly outperforms BoW in terms of efficiency and effectiveness on the same hardware
Image computation and predicate refinement for RTL verilog using word level proofs
- In Design, Automation and Test in Europe (DATE’07
, 2007
"... Automated abstraction is the enabling technique for model checking large circuits. Predicate Abstraction is one of the most promising abstraction techniques. It relies on the efficient computation of predicate images and the right choice of predicates. Existing algorithms use a net-list-level circui ..."
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Cited by 2 (0 self)
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Automated abstraction is the enabling technique for model checking large circuits. Predicate Abstraction is one of the most promising abstraction techniques. It relies on the efficient computation of predicate images and the right choice of predicates. Existing algorithms use a net
Enabling Content-Based Image Retrieval in Very Large Digital Libraries
"... Abstract. Enabling effective and efficient Content-Based Image Re-trieval (CBIR) on Very Large Digital Libraries (VLDLs), is today an important research issue. While there exist well-known approaches for information retrieval on textual content for VLDLs, the research for an effective CBIR method th ..."
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Abstract. Enabling effective and efficient Content-Based Image Re-trieval (CBIR) on Very Large Digital Libraries (VLDLs), is today an important research issue. While there exist well-known approaches for information retrieval on textual content for VLDLs, the research for an effective CBIR method
A Robust Medical Image Authentication Technique using QR Code and DWT
"... Image authentication plays a vital role in safeguarding the originality as well as helps to retain the integrity of the data. It is also used as proof in case of content delivery. This paper proposes an efficient and effective medical image authentication technique by embedding information of a pati ..."
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Image authentication plays a vital role in safeguarding the originality as well as helps to retain the integrity of the data. It is also used as proof in case of content delivery. This paper proposes an efficient and effective medical image authentication technique by embedding information of a
Results 1 - 10
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179