Search Results - (( wave optimization bees algorithm ) OR ( frames selection based algorithm ))

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  1. 1

    An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization by Mizher, Manar Abduljabbar Ahmad, Ang, Mei Choo, Sheikh Abdullah, Siti Norul Huda, Kok, Weng Ng

    Published 2019
    “…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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    Article
  2. 2

    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
    “…The variable block matching developed based on four stages which is the video and frame selection, threshold calculation, block size selection and search pattern. …”
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    Thesis
  3. 3

    Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm by Yazdi, H.M., Ramli Sulong, N.H.

    Published 2009
    “…Based on the plain aggregate approaches for transforming the objective vector in scalar, some modifications are proposed to assist designers in making decision on prioritizing between the frame stiffness and brace frame weight in their design.…”
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    Article
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    WA VELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS by GANI, REGINA

    Published 2008
    “…The simulation was developed using SIMULINK and MATLAB. WaveletDCT based intra-frame coder was simulated by employing two different approaches. …”
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    Final Year Project
  7. 7

    Frame selection based on modified entropy and object motion for secured data hiding in videos by Muhammad Fuad, Abdullah

    Published 2021
    “…This research proposed a frame selection technique based on object motion and modified entropy in video steganography. …”
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    Thesis
  8. 8

    A new stepsize for gradient method via weak secant equation by Leong, Wah June

    Published 2007
    “…The algorithm then selects the stepsizes along the negative gradient using a new approximation of the Hessian based on the weak secant equation. …”
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    Conference or Workshop Item
  9. 9

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…Whenever an area with the similar characteristic is verified in the next frame, the area will be identified and bounded with a rectangle through the object recognition algorithm of the research. …”
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    Final Year Project / Dissertation / Thesis
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    Video surveillance: Item monitoring against theft by Chong, Yiing Sheah

    Published 2023
    “…After that, the system will get the current frame to find the common features with the background frame by using a feature matching algorithm. …”
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    Final Year Project / Dissertation / Thesis
  12. 12

    Grouping based radio frequency identification anti-collision protocols for dense internet of things application by Umelo, Nnamdi H., Noordin, Nor K., A. Rasid, Mohd Fadlee, Geok, Tan K., Hashim, Fazirulhisyam

    Published 2022
    “…This paper analyzes selected grouping-based algorithms. Their underlining principles are discussed including their tag estimation methods. …”
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    Article
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    Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

    Published 2016
    “…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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    Article
  15. 15

    Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim by Mohamed Hatim, Shahirah

    Published 2016
    “…Two types of selection parameter namely tournament selection (TOS) and random permutation selection (RPS) are chosen. …”
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    Thesis
  16. 16

    A fuzzy approach for early human action detection / Ekta Vats by Ekta, Vats

    Published 2016
    “…It combines the benefits of computer vision and fuzzy set theory based on fuzzy BK subproduct. The novelty lies in the construction of a frame-by-frame membership function for each kind of possible movement, taking into account several human actions from a publicly available dataset. …”
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    Thesis
  17. 17

    Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

    Published 2008
    “…Detecting moving objects is a key component of an automatic visual surveillance and tracking system. Previous motion-based moving object detection approaches often use background subtraction and inter-frame difference or three-frame difference, which are complicated and takes long time. …”
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    Undergraduates Project Papers
  18. 18

    A comparative study and simulation of object tracking algorithms by Ji, Yuanfa, Yin, Pan, Sun, Xiyan, Kamarul Hawari, Ghazali, Guo, Ning

    Published 2020
    “…This article introduces the popular object tracking algorithms, from common problems in object tracking to the classification of algorithms: Early classic trackingalgorithms, tracking algorithms based on kernel correlation filtering, and tracking algorithms based on deep learning. …”
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    Conference or Workshop Item
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    Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2) by Thian, Laah Lean, Al-Saegh, Ali Mohammed, Ramli, K. F., Ibrahim, N. S., Sali, Aduwati, Salman, Mustafa Ismael

    Published 2013
    “…Based on energy efficiency of each modulation and coding scheme (MODCOD) available in Digital Video Broadcasting - Satellite Second Generation (DVB-S2), the EEF algorithm improves a scheduling mechanism of a two-step scheduler by selecting frames to be transmitted next according to “energy efficiency” policy developed. …”
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    Conference or Workshop Item