Search Results - (( frames detection method algorithm ) OR ( frames extraction using 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

    Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

    Published 2016
    “…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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    Article
  3. 3

    A new multi-frames watermarking technique for tamper detection and recovery by Khor, Hui Liang

    Published 2017
    “…Nowadays, medical image modalities have been digitalized and standardized into DICOM format which exhibit multi-frames characteristics; hence, multi-frames medical images have been widely used in clinical practice but it has been found that most of watermarking researches were conducted on single-frame medical image because their focus was on the intrinsic algorithm of watermarking scheme. …”
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    Thesis
  4. 4

    A fast feature extraction algorithm for image and video processing by Abdulhussain, Sadiq H., Ramli, Abdul Rahman, Mahmmod, Basheera M., Saripan, M. Iqbal, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Baker, Thar, Flayyih, Wameedh Nazar, Jassim, Wissam A.

    Published 2019
    “…Furthermore, the proposed method is employed for shot boundary detection (SBD) applications to detect transitions in video frames. …”
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    Conference or Workshop Item
  5. 5

    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
  6. 6

    Image Stitching Of Aerial Footage by Ng, Wei Haen

    Published 2021
    “…ScaleInvariant Feature Transform (SIFT) approach is used to detect and describe the feature points of the extracted frames. …”
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    Final Year Project / Dissertation / Thesis
  7. 7

    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…Also, the current motion target detection algorithms extract features from the relevant object only if the moving object has complex texture features. …”
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    Article
  8. 8

    Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform by Al-Deen, Ahmed A. Baha'a

    Published 2007
    “…Therefore, uncompressed video format has been used in the research undertaken. On the other hand, a random key is used to choose the frames to be watermarked to increase the security level of the algorithm and discourage piracy. …”
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    Thesis
  9. 9

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…The first contribution is automatic detection of seed points which serve as a prerequisite step for centerline extraction algorithm. …”
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    Thesis
  10. 10

    Robust vision-based multiple moving object detection and tracking from video sequences by Khalifa, Othman Omran, Abdul Malek, Norun, Ahmed, Kazi Istiaque, Abdul Rahman, Farah Diyana

    Published 2018
    “…This paper illustrates the way to detect multiple objects using background subtraction methods and extract each object features by using Speed-Up Robust Feature algorithm and track the features through k-Nearest Neighbor processing from different surveillance videos sequentially. …”
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    Article
  11. 11

    Implementing low level features for human aggressive movement detection by Tan Zizi, Tuan Khalisah, Ramli, Suzaimah, Ibrahim, Norazlin, Zainudin, Norulzahrah, Abdullah, Lili Nurliyana, Hasbullah, Nor Asiakin

    Published 2015
    “…This research propose an approach to figure out human aggressive movements using Horn-Schunck optical flow algorithm in order to find the flow vector for all video frames. …”
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    Book Section
  12. 12

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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    Thesis
  13. 13

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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    Thesis
  14. 14

    ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING by MOHD RASHDAN, NURUL FARAH

    Published 2019
    “…The process starts with human action video obtained from KTH dataset as the input for video processing. In the frame process, important information will be extracted from the video images accordance to frame sequence where Spatial Temporal -Interest-Point (STIP) is used based on Harris’ Corner detection. …”
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    Final Year Project
  15. 15

    Detection and classification of bleeding region in WCE images using color feature by Suman, S., Hussin, F.A.B., Malik, A.S., Pogorelov, K., Riegler, M., Ho, S.H., Hilmi, I., Goh, K.L.

    Published 2017
    “…In case of bleeding, color is a very important feature for an efficient information extraction. Our algorithm is based on statistical color feature analysis and we use support vector machine (SVM) to classify WCE video frames into bleeding and non-bleeding classes with a high processing speed. …”
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    Article
  16. 16

    Detection and Classification of Moving Objects for an Automated Surveillance System by Md. Tomari, Mohd Razali

    Published 2006
    “…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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    Thesis
  17. 17

    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    Published 2006
    “…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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    Thesis
  18. 18
  19. 19

    An integrated deep learning deepfakes detection method (IDL-DDM) by Yassin, Warusia, Johan, Azwan, Abas, Zuraida Abal, Baharon, Mohd Rizuan, Bejuri, Wan, Ismail, Anuar

    Published 2024
    “…In addition, the Long Short-Term Memory (LSTM) approach is applied consecutively after CNN in order to grant sequential processing of data and overcome learning dependencies. Using this learning algorithm, several facial region characteristics such as eyes, nose, and mouth are extracted and further transformed into numerical form with the intention to identify video frames more precisely. …”
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    Conference or Workshop Item
  20. 20

    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    Published 2006
    “…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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    Thesis