Search Results - real ((((query processing) OR (((image processing) OR (pre processing))))) OR (_ processing))

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  1. 1
    Real-Time Video Processing Using Native Programming on Android Platform

    Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

    Published 2012
    “…In this paper the performance of native programming and high level programming using JAVA are compared with respect to video processing speed. Eight image processing methods are applied to each frame of the video captured from a smartphone that is running on an Android platform. …”
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  2. 2
    Semantic-based image retrieval for multi-word text queries

    Semantic-based image retrieval for multi-word text queries by Zand, Mohsen

    Published 2015
    “…With semantic-based image retrieval (SBIR), the real semantic meanings of images are discovered and used to retrieve relevant images to the user query. …”
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  3. 3
    Partial Pose Estimation Of Rigid Object System Using Cad Database

    Partial Pose Estimation Of Rigid Object System Using Cad Database by Zulkoffli, Zuliani

    Published 2017
    “…Image pre-processing consists of image rescaling, image segmentation and image registration. …”
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  4. 4
    Measuring Power Consumption for Image Processing on Android Smartphone

    Measuring Power Consumption for Image Processing on Android Smartphone by Saipullah, Khairul Muzzammil

    Published 2013
    “…The goal of this study is to compare the two power consumption measuring approaches in quantifying the power consumed by image processing applications in Android smartphone. …”
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  5. 5
    The effects of compiler optimizations in face recognition system

    The effects of compiler optimizations in face recognition system by Shuhaizar, Daud, Khalib, Z.I.K, R. Badlishah, Ahmad, Mohamad Rizon, Mohamed Juhari

    Published 2009
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  6. 6
    Real-time facial expression recognition system (FERS)

    Real-time facial expression recognition system (FERS) by Thelehaswary, Appalasamy

    Published 2011
    “…Evolutionary methodology was implemented in this system design by using several image processing techniques include imageacquisition,image enhancement (or known as pre-processing stages)and feature extraction.Hundred and fifty four sample,data of human faces in the range of 18 to 26 years old is tested.The system first applies some pre-processing stages to enhance the input image and reduce the noise.The face boundary will then be detected. …”
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  7. 7
    A model for real-time recognition and textual representation of Malaysian sign language through image processing

    A model for real-time recognition and textual representation of Malaysian sign language through image processing by Karabasi, Mostafa, Bhatti, Zeeshan, Shah, Asadullah

    Published 2013
    “…We propose a model for recognizing Malaysian sign language through image processing techniques and converting the visual information into textual information in real-time. …”
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  8. 8
    AUTOMATED PIPELINE DIAGNOSTICS USING IMAGE PROCESSING AND INTELLIGENT SYSTEM

    AUTOMATED PIPELINE DIAGNOSTICS USING IMAGE PROCESSING AND INTELLIGENT SYSTEM by Muniandy, Divyeruthra

    Published 2018
    “…Then these videos were automatically converted into image frames, pre-processed and fed into system as training material. …”
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  9. 9
    Hand detection for computer graphical user interface control

    Hand detection for computer graphical user interface control by Aiman Syakir, Sobki

    Published 2016
    “…The methodology starts with image processing where batches of hand images were processed to detect the fingertips and the most minimum fingertip followed by video processing where real-time video were processed using the code from image processing. …”
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  10. 10
    Acceleration of Retinex Algorithm for Image Processing on Android Device Using Renderscript

    Acceleration of Retinex Algorithm for Image Processing on Android Device Using Renderscript by Le, Duc Phuoc Phat Dat, Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
    “…Retinex is considered as an effective method to restore the image’s original appearance and used as a pre-processing step in many computer vision applications. …”
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  11. 11
    Identifying skylines in cloud databases with incomplete data

    Identifying skylines in cloud databases with incomplete data by Gulzar, Yonis, Alwan Aljuboori, Ali Amer, Salleh, Norsaremah, Alshaikhli, Imad Fakhri Taha

    Published 2019
    “…We argue that our approach is practical and can be adopted in many contemporary cloud database systems with incomplete data to process skyline queries.…”
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  12. 12
    Optimizing skyline query processing in incomplete data

    Optimizing skyline query processing in incomplete data by Gulzar, Yonis, Alwan, Ali Amer, Turaev, Sherzod

    Published 2019
    “…Hence, missing data pose new challenges if the processing skyline queries cannot easily apply those methods that are designed for complete data. …”
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  13. 13
    Hough transform generated strong image hashing scheme for copy detection

    Hough transform generated strong image hashing scheme for copy detection by Srivastava, Mayank, Siddiqui, Jamshed, Ali, Mohammad Athar

    Published 2018
    “…The input image is initially pre-processed to remove any kind of minor effects. …”
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  14. 14
    Pre-Processing Edge Detection Image Enhancement and Spatial Object Velocity Estimation for Echocardiograph Diagnostic Test

    Pre-Processing Edge Detection Image Enhancement and Spatial Object Velocity Estimation for Echocardiograph Diagnostic Test by Hussein, Zinah Rajab

    Published 2010
    “…This method is designed to extract the contours of heart boundaries from a sequence of echocardiograph images, where it started with pre-processing to reduce noise and get better image quality. …”
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  15. 15
    Utilisation of website logo for phishing detection

    Utilisation of website logo for phishing detection by Chiew, K.L., Chang, E.H., Sze, S.N., Tiong, W.K.

    Published 2015
    “…The first process will detect and extract the logo image from all the downloaded image resources of a webpage. …”
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  16. 16
    Optimizing the Clinical Decision Support System (CDSS) by Using Recurrent Neural Network (RNN) Language Models for Real-Time Medical Query Processing

    Optimizing the Clinical Decision Support System (CDSS) by Using Recurrent Neural Network (RNN) Language Models for Real-Time Medical Query Processing by Al Barazanchi I.I., Hashim W., Thabit R., Alrasheedy M.N., Aljohan A., Park J., Chang B.

    Published 2025
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  17. 17
    Automated Pipeline Diagnostics Using Image Processing and Intelligent System

    Automated Pipeline Diagnostics Using Image Processing and Intelligent System by Lemma, T.A., Muniandy, D., Ahsan, S.

    Published 2020
    “…Then these videos were automatically converted into image frames, pre-processed and fed into system as training material. …”
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  18. 18
    Data virtualization design model for near real time decision making in business intelligence environment

    Data virtualization design model for near real time decision making in business intelligence environment by Albadri, Ayad Hameed Mousa

    Published 2017
    “…ETL operates at pre-defined times and requires time to process and transfer data. …”
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  19. 19
    Processing skyline queries in incomplete database: issues, challenges and future trends

    Processing skyline queries in incomplete database: issues, challenges and future trends by Gulzar, Yonis, Aljuboori, Ali A.Alwan, Salleh, Norsaremah, Alshaikhli, Imad Fakhri Taha

    Published 2017
    “…This paper attempts to survey and analyze the previous works proposed to process skyline queries in the incomplete database. …”
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  20. 20
    Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings

    Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings by Mohamed Anuar, Mohamed Marzhar

    Published 2022
    “…We then continued our study to find the best method for paddy seedlings density classification task. All the pre-trained models showed comparable accuracy with the Base Model when trained to classify a new object with hyperparameter tuning and our proposed image pre-processing which reduces noise and enhanced input images features. …”
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