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Performance Evaluation and Scheme Selection of Shot Boundary Detection and Keyframe Extraction in Content-Based Video Retrieval

Gu, Lingchen; Liu, Ju; Qu, Aixi - In: International Journal of Digital Crime and Forensics (IJDCF) 9 (2017) 4, pp. 15-29

The advancement of multimedia technology has contributed to a large number of videos, so it is important to know how to retrieve information from video, especially for crime prevention and forensics. For the convenience of retrieving video data, content-based video retrieval (CBVR) has got great...

Persistent link: https://www.econbiz.de/10012043951

A new intuitionistic fuzzy correlation coefficient approach with applications in multi-criteria decision-making

Bajaj, Jyoti; Kumar, Satish - 2023

The Intuitionistic Fuzzy Set (IFS) is a powerful extension of Fuzzy Set (FS) used to handle vagueness and uncertainty. The correlation coefficient is an established tool for finding the strength of relationships between two IFSs. This study proposes a new approach for finding a correlation...

Persistent link: https://www.econbiz.de/10014532457

AN INTUITIONISTIC FUZZY GROUP DECISION-MAKING APPROACH BASED ON ENTROPY AND SIMILARITY MEASURES

WEI, CUIPING; TANG, XIJIN - In: International Journal of Information Technology & … 10 (2011) 06, pp. 1111-1130

In this paper, we study group decision-making problems based on intuitionistic preference relations. By measuring the uncertain information of intuitionistic preference relations and the average similarity degree of one individual intuitionistic preference relation to the others, we propose a...

Persistent link: https://www.econbiz.de/10009415351

Integration of fuzzy Shannon's entropy with fuzzy TOPSIS for industrial robotic system section

Chaghooshi, Ahmad Jafarnejad; Fathi, Mohammad Reza; … - In: Journal of industrial engineering and management : JIEM 5 (2012) 1, pp. 102-114

/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon's Entropy. After that, fuzzy TOPSIS is …'s Entropy and Fuzzy TOPSIS techniques. Originality/value: This paper offers a new integrated method for industrial robotic …

Persistent link: https://www.econbiz.de/10011900019

Integration of fuzzy Shannon's entropy with fuzzy TOPSIS for industrial robotic system section

Chaghooshi, Ahmad Jafarnejad; Fathi, Mohammad Reza; … - In: Journal of Industrial Engineering and Management (JIEM) 5 (2012) 1, pp. 102-114

Persistent link: https://www.econbiz.de/10011938998

Aproksymacja liczb rozmytych zachowujaca entropijna miare niespecyficznosci

Grzegorzewski P. - In: Operations Research and Decisions 4 (2003)

Zbiory rozmyte okazaly sie bardzo pomocne w modelowaniu i efektywnym przetwarzaniu nieprecyzyjnych informacji. Czasem zachodzi jednak koniecznosc przyblizenia danego zbioru rozmytego za pomoca zbioru nierozmytego. W tym celu stosuje sie zazwyczaj defuzyfikacje (wyostrzanie), ale metoda ta...

Persistent link: https://www.econbiz.de/10008764603

An integrated approach for solving a MCDM problem, Combination of Entropy Fuzzy and F-PROMETHEE techniques

Shahmardan, Amin; Zadeh, Mohammad Hendijani - In: Journal of industrial engineering and management : JIEM 6 (2013) 4, pp. 1124-1138

decision making problem by the use of Entropy Fuzzy and F- PROMETHEE (fuzzy preference ranking method for enrichment evaluation … outcome of solving these kinds of problems. Initially, weights of criteria are determined by implementation of Entropy Fuzzy … algorithm which can deal with these constraints properly. This technique namely called Entropy Fuzzy as a weighting method and F …

Persistent link: https://www.econbiz.de/10011903418

Fuzzy Soft Matrices Entropy: Application in Data-Reduction

Gupta, Priti; Sharma, Omdutt; Tiwari, Pratiksha - In: International Journal of Fuzzy System Applications (IJFSA) 7 (2018) 3, pp. 56-75

This article describes how information technology and internet together infused organizations with huge amount of data. Consequently, accumulating, storing, understanding and analyzing data at a large scale is equally important and complex. Out of this data not all is information data, in order...

Persistent link: https://www.econbiz.de/10012044858

Fast Video Shot Boundary Detection Technique based on Stochastic Model

Al-Jarrah, Mohammad A.; Al-Omari, Faruq A. - In: International Journal of Computer Vision and Image … 6 (2016) 2, pp. 1-17

A video is composed of set of shots, where shot is defined as a sequence of consecutive frames captured by one camera without interruption. In video shot transition could be a prompt (hard cut) or gradual (fade, dissolve, and wipe). Shot boundary detection is an essential component of video...

Persistent link: https://www.econbiz.de/10012043816

A comprehensive survey on deep learning techniques for digital video forensics

Vigneshwaran, T.; Velammal, B. L. - In: Journal of information & knowledge management : JIKM 23 (2024) 3, pp. 1-20

Persistent link: https://www.econbiz.de/10014575640