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Designing a new storage technique for face images transmission using JPEG2000

Designing a new storage technique for face images transmissi...

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8th International conference Advanced Communication Technology, ICACT 2006

作者： Huang, Hsiu-Mei You, Geeng-Neng Syu, Fu-Song Liaw, Shu-Sheng Department of Management Science National Tai-Chung Institute of Technology 129 Saming Rd. Taichung 404 Taiwan Department of Multimedia Design National Tai-Chung Institute of Technology 129 Saming Rd. Taichung 404 Taiwan General Education Center China Medical University 91 Shiuesh Rd. Taichung 404 Taiwan

ISBN: (纸本)8955191294

Pictures and video sequences showing human faces are of high importance in content-based retrieval systems. During flourishing Internet time, more and more human face image databases are stored on the Internet. they provide a great number of human face images to access. therefore, considering the storage space and the network bandwidth, how to access human face image more efficiently has become an important topic. the primary goal of our method is to minimize the number of bits required to preserve the crucial facial features without any loss of information. In this paper, we propose a new technique based on JPEG2000 for the storage and retrieval of the human face images. We combine lossy and lossless image compression of JPEG2000 to reach our goal. Aiming at the feature of human face image data, we will extract the facial features in the image as the most important information. the lossless image compression is used to retain the facial features of human face image. the background and the rest of the image are processed by lossy compression to further save the required storage space. the preliminary result has shown that our method can have higher compression ratio without loss of the crucial facial feature for low bandwidth communication applications, such as videophone and teleconferencing.

关键词： image communication systems

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QHash: An efficient hashing algorithm for low-variance image deduplication 23

QHash: An efficient hashing algorithm for low-variance image...

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23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and Systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Li, Xuan Chang, Liqiong Liu, Xue School of Computer Science McGill University MontrealQCH3A0G4 Canada

ISBN: (纸本)9781665494571

Attributed to the widespread use of general artificial intelligence (AI), large-scale datasets have become a critical component for the success of AI-powered applications. While collecting a larger dataset is desirable in general, studies have revealed that many databases include duplicated images. the accumulation of redundant images will result in excessive resource usage and inefficient cloud storage utilization. To get rid of the duplicates, hashing-based methods have been developed for the problem of image deduplication. However, as demonstrated in our experiments, current approaches fail in dataset with small visual difference, such as medical images. To this end, we propose QHash, which achieves effective image deduplication on the low-variance dataset. QHash leverages Vector Quantized Variational AutoEncoder (VQ-VAE) to learn the data distribution in an unsupervised manner. In addition, hash sequences are implemented using integer-based tensor, enabling distance calculation and deduplication being processed in parallel on either CPU or GPU. Extensive experiments show that QHash outperforms other baseline approaches by at least 50%, while is about 23% memory efficient and 18% deduplication time speedup. © 2021 IEEE.

关键词： Visualization Tensors Smart cities Memory management Graphics processing units Parallel processing Lesions

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Design of image Processing System Based on FPGA

Design of Image Processing System Based on FPGA

引用

7th International conference on MEMS, NANO and Smart Systems (ICMENS 2011)

作者： Xu Guosheng Weifan Univ Weifang 261061 Peoples R China

ISBN: (纸本)9783037853122

To speed up the image acquisition and make full use of effective information, a design method of CCD partial image scanning system is presented. the system achieves to functions of the high -speed data collection, the high -speed video data compression the real time video data Network Transmission and the real time compression picture data storage. the data processed was transferred to PC through USB2.0 real-time to reconstruct defects microscopic images. Experiments show that the system has stable performance, real-time data transmission and high quality images, feasible by adopting the algorithm and scheme proposed in this paper.

关键词： FPGA CCD image acquisition image processing

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Mobile Multimedia Communications - 7th International ICST conference, MOBIMEDIA 2011, Revised Selected Papers

Mobile Multimedia Communications - 7th International ICST Co...

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7th International ICST conference on Mobile Multimedia Communications, MOBIMEDIA 2011

ISBN: (纸本)9783642304187

the proceedings contain 26 papers. the topics discussed include: reduced-reference image quality assessment based on edge preservation;on measuring the perceptual quality of video streams over lossy wireless networks;the correlation dimension: a video quality measure;a spectrum sensing algorithm for white spaces detection validated in real environments;cooperative spectrum sensing for geo-location databases;spectrum occupancy and hidden node margins for cognitive radio applications in the uhf band;delay model for super-frame based resource reservation in distributed wireless networks;a method for detection/deletion via network coding for unequal error protection of scalable video over error-prone networks;multi-stream rate adaptation using scalable video coding with medium grain scalability;and the role of log entries in the quality control of video distribution.

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image indexing using composite regional color channels features

Image indexing using composite regional color channels featu...

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Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Appas, Ahmed R. Darwish, Ahmed M. El-Desouki, Ayman I. Shaheen, Samir I. Electronic Research Inst Dokki Egypt

Color indexing is a technique by which images in the database could be retrieved on the bases of their color content. In this paper, we propose a new set of color features for representing color images, and show how they can be computed and used efficiently to retrieve images that possess certain similarity. these features are based on the first three moments of each color channel. Two differences distinguish this work from previous work reported in the literature. First, we compute the third moment of the color channel distribution around the second moment not around the first moment. the second moment is less sensitive to small luminance changes, than the first moment. Second we combine all three moment values in a single descriptor. this reduces the number of floating point values needed to index the image and hence speeds up the search. To give the user flexibility in terms of defining his center of attention during query time, the proposed approach divides the image into five geometrical regions and allows the user to give different weights for each region to designate its importance. the approach has been tested on databases of 205 images of airplanes and natural scenes. It proved to be insensitive to small rotations and small translations in the image and yielded a better hit rate than similar algorithms previously reported in the literature.

关键词： image analysis

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A MEMETIC ALGORIthM FOR OPTIMIZING thE ASSIGNMENT OF TABLES ON RELATIONAL DATABASE storage UNITS 16

A MEMETIC ALGORITHM FOR OPTIMIZING THE ASSIGNMENT OF TABLES ...

引用

16th International conference on Computer Graphics, Visualization, Computer Vision and image Processing, CGVCVIP 2022, 8th International conference on Connected Smart Cities, CSC 2022, 7th International conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th International conference on theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi conference on Computer Science and Information Systems, MCCSIS 2022

作者： Lucas, Arturo Cueva, Rony Tupia, Manuel Pontificia Universidad Católica del Perú Avenida Universitaria Lima San Miguel1801 Peru

ISBN: (纸本)9789898704429

Optimizing the storage of large volumes of information in relational databases has become an increasingly common need in modern organizations. Database management systems and load balancers aim to accomplish this and employ often inefficient or empirical table mapping protocols. Artificial Intelligence, through bio-inspired algorithms, has come to the aid of this optimization process and the present paper seeks to propose a memetic algorithm to perform the best allocations to tables in relational database storage units, seeking best configurations and accelerating the access to such data. this paper proposes the use of a Memetic Algorithm in the table assignment problem that works on two levels. First, optimizing the result of the best local search algorithm found in the literature, such as the Taboo Search Algorithm;and, secondly, the minimization of exchange processes between tables was achieved, as no other algorithm in the reviewed literature presents. © MCCSIS *** rights reserved.

关键词： Tabu search

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Finding faces in gray scale images using locally linear embeddings

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5th International conference on image and video retrieval (CIVR 2006

作者： Kadoury, Samuel Levine, Martin D. McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 2A7 Canada

ISBN: (纸本)3540360182

the problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial expression, occlusion, and aging. A novel technique that is gaining in popularity, known as Locally Linear Embedding (LLE), performs dimensionality reduction on data for learning and classification purposes. this paper presents a novel approach to the face detection problem by applying the LLE algorithm to 2D facial images to obtain their representation in a sub-space under the specific conditions stated above. the low-dimensional data are then used to train Support Vector Machine (SVM) classifiers to label windows in images as being either face or non-face. Six different databases of cropped facial images, corresponding to variations in head rotation, illumination, facial expression, occlusion and aging, were used to train and test the classifiers. Experimental results obtained demonstrated that the performance of the proposed method was similar and sometimes better when compared to other face detection methods, while using a lower amount of training images, thus indicating a viable and accurate technique:

关键词： image analysis

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Flexible storage of still images with a perceptual quality criterion

Flexible storage of still images with a perceptual quality c...

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7th International conference on Advanced Concepts for Intelligent Vision Systems

作者： Ricordel, V Le Callet, P Carnec, M Parrein, B Univ Nantes Ecole Polytech IRCCyN UMR CNRS 6597 Image & Video Commun Team F-44306 Nantes France

ISBN: (纸本)354029032X

the purpose of the paper is to introduce a new method for flexible storage of still images. the complete design of the system is described with the scalable encoding, the distortion computation, the bits allocation strategy, and the method for the memory management. the main improvement is the full exploitation of a perceptual metric to assess precisely the introduced distortion when removing a layer in a scalable coding stream. Experimental results are given and compared with a system which uses the PSNR as distortion metric.

关键词： Digital image storage

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Finger vein Liveness Detection Using Motion Magnification 7

Finger vein Liveness Detection Using Motion Magnification

引用

IEEE 7th International conference on Biometrics theory, Applications and Systems (BTAS)

作者： Raghavendra, R. Avinash, Manasa Marcel, Sebastien Busch, Christoph Gjovik Univ Coll Norwegian Biometr Lab N-2802 Gjovik Norway Vidya Vikas Inst Engn & Technol Mysore Karnataka India Idiap Res Inst Ctr Parc CH-1920 Martigny Switzerland

ISBN: (纸本)9781479987771

Finger vein recognition has emerged as an accurate and reliable biometric modality that was deployed in various security applications. However, the use of finger vein recognition also indicated its vulnerability to presentation attacks (or direct attacks). In this work, we present a novel algorithm to identify the liveness of the finger vein characteristic that is presented to the sensor. the core idea of the proposed approach is to magnify the blood flow through the finger vein to measure its liveness. To this extent, we employ the Eulerian video Magnification (EVM) approach to enhance the motion of the blood in the recorded finger vein video. Next, we further process the magnified video to extract the motion-based features using optical flow to identify the finger vein artefacts. Extensive experiments are carried out on a relatively large database that is comprised of normal presentations vein videos from 300 unique finger instances corresponding to 100 subjects. the finger vein artefact database is captured by printing 300 real (or normal) presentation image of the finger vein sample on a high-quality paper using two different kinds of printers namely laser and inkjet. Extensive comparative evaluation with four different well-established state-of-the-art schemes demonstrated the efficacy of the proposed scheme.

关键词： Biometrics (access control) Blood databases Feature extraction Fingers Printers Veins Veins Fingers printers Feature extraction Database Blood direct attack

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Application-Independent In-Network storage Optimization for Distributed Smart Camera Systems

Application-Independent In-Network Storage Optimization for ...

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7th International conference on Distributed Smart Cameras (ICDSC)

作者： Grenz, Carsten Asam, Fabian Haehner, Joerg Univ Gottingen Organ Comp Gottingen Germany

ISBN: (纸本)9781479921645

Today's Smart Camera networks are able to execute a wide variety of distributed algorithms. the usage of high-level algorithms range from image processing, i.e. video analysis and feature extraction, to distributed observation and control protocols that coordinate the collaboration of cameras. these algorithms output georeferenced data representing various abstractions of the observed scene as well as the cameras' states. this data is again used by other algorithms operating on it or visualizing it to the security personnel. We present a novel approach for optimizing the storage of georeferenced sensor data in Smart Camera Networks. Our approach makes use of an access-centric paradigm to adaptively optimize the storage location of data depending on the associated access patterns. Our storage framework offers a generalized interface to be easily usable by any higher-level algorithm. the algorithm's adaptive behaviour leads to a huge reduction of network usage and latency.

关键词： Cameras

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