{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:47:33Z","timestamp":1775666853583,"version":"3.50.1"},"reference-count":25,"publisher":"Emerald","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,8]]},"abstract":"<jats:sec>\n                  <jats:title>Purpose<\/jats:title>\n                  <jats:p>With the advent of technology, a huge amount of data is being transmitted and received through the internet. Large bandwidth and storage are required for the exchange of data and storage, respectively. Hence, compression of the data which is to be transmitted over the channel is unavoidable. The main purpose of the proposed system is to use the bandwidth effectively. The videos are compressed at the transmitter\u2019s end and reconstructed at the receiver\u2019s end. Compression techniques even help for smaller storage requirements.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design\/methodology\/approach<\/jats:title>\n                  <jats:p>The paper proposes a novel compression technique for three-dimensional (3D) videos using a zig-zag 3D discrete cosine transform. The method operates a 3D discrete cosine transform on the videos, followed by a zig-zag scanning process. Finally, to convert the data into a single bit stream for transmission, a run-length encoding technique is used. The videos are reconstructed by using the inverse 3D discrete cosine transform, inverse zig-zag scanning (quantization) and inverse run length coding techniques. The proposed method is simple and reduces the complexity of the convolutional techniques.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Findings<\/jats:title>\n                  <jats:p>Coding reduction, code word reduction, peak signal to noise ratio (PSNR), mean square error, compression percent and compression ratio values are calculated, and the dominance of the proposed method over the convolutional methods is seen.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Originality\/value<\/jats:title>\n                  <jats:p>With zig-zag quantization and run length encoding using 3D discrete cosine transform for 3D video compression, gives compression up to 90% with a PSNR of 41.98\u2009dB. The proposed method can be used in multimedia applications where bandwidth, storage and data expenses are the major issues.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1108\/ijpcc-01-2022-0012","type":"journal-article","created":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T02:16:01Z","timestamp":1658456161000},"page":"510-524","source":"Crossref","is-referenced-by-count":2,"title":["Video compression based on zig-zag 3D DCT and run-length encoding for multimedia communication systems"],"prefix":"10.1108","volume":"20","author":[{"given":"Sravanthi","family":"Chutke","sequence":"first","affiliation":[{"name":"Sathyabama Institute of Science and Technology Department of Electronics and Communications, , Chennai,","place":["India"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nandhitha","family":"N.M.","sequence":"additional","affiliation":[{"name":"Sathyabama Institute of Science and Technology Department of Electronics and Communications, , Chennai,","place":["India"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Praveen Kumar","family":"Lendale","sequence":"additional","affiliation":[{"name":"Sathyabama Institute of Science and Technology Department of Electronics and Communications, , Chennai,","place":["India"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"issue":"1","key":"2025090904251464100_ref001","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/T-C.1974.223784","article-title":"Discrete cosine transform","volume":"C-23","author":"Ahmed","year":"1974","journal-title":"IEEE Transactions on Computers"},{"key":"2025090904251464100_ref002","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1002\/9781119992806.ch23","article-title":"Video 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