{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T17:19:41Z","timestamp":1785518381311,"version":"3.56.0"},"reference-count":38,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,2]],"date-time":"2018-04-02T00:00:00Z","timestamp":1522627200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>In this paper, a new method is proposed for motion vector steganalysis using the entropy value and its combination with the features of the optimized motion vector. In this method, the entropy of blocks is calculated to determine their texture and the precision of their motion vectors. Then, by using a fuzzy cluster, the blocks are clustered into the blocks with high and low texture, while the membership function of each block to a high texture class indicates the texture of that block. These membership functions are used to weight the effective features that are extracted by reconstructing the motion estimation equations. Characteristics of the results indicate that the use of entropy and the irregularity of each block increases the precision of the final video classification into cover and stego classes.<\/jats:p>","DOI":"10.3390\/e20040244","type":"journal-article","created":{"date-parts":[[2018,4,2]],"date-time":"2018-04-02T12:32:20Z","timestamp":1522672340000},"page":"244","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Entropy-Based Video Steganalysis of Motion Vectors"],"prefix":"10.3390","volume":"20","author":[{"given":"Elaheh","family":"Sadat","sequence":"first","affiliation":[{"name":"Electrical Engineering Department, Amirkabir University of Technology, Tehran 15875-4413, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1159-4866","authenticated-orcid":false,"given":"Karim","family":"Faez","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Amirkabir University of Technology, Tehran 15875-4413, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5976-2697","authenticated-orcid":false,"given":"Mohsen","family":"Saffari Pour","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Sharif University of Technology, Tehran 1458889694, Iran"},{"name":"KTH Royal Institute of Technology, 11428 Stockholm, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zhai, L., Wang, L., and Ren, Y. 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