{"id":56072,"date":"2023-08-28T16:18:02","date_gmt":"2023-08-28T16:18:02","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/ccs349-image-and-video-analytics-syllabus-for-csd-2021-regulation-professional-elective-vii\/"},"modified":"2023-08-28T16:18:02","modified_gmt":"2023-08-28T16:18:02","slug":"ccs349-image-and-video-analytics-syllabus-for-csd-2021-regulation-professional-elective-vii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/ccs349-image-and-video-analytics-syllabus-for-csd-2021-regulation-professional-elective-vii\/","title":{"rendered":"CCS349: Image and Video Analytics syllabus for CSD 2021 regulation (Professional Elective-VII)"},"content":{"rendered":"<p align=\"justify\">Image and Video Analytics detailed syllabus for Computer Science &amp; Design (CSD) for 2021 regulation curriculum has been taken from the <a class=\"rank-math-link\" href=\"https:\/\/cac.annauniv.edu\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Anna Universities<\/a> official website and presented for the CSD students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Computer Science &amp; Design 6th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/csd-6th-sem-syllabus-2021-regulation\">CSD 6th Sem 2021 regulation scheme<\/a>. For Professional Elective-VII scheme and its subjects refer to <a class=\"rank-math-link\" href=\"..\/professional-elective-vii-syllabus-for-csd-2021-regulation\">CSD Professional Elective-VII syllabus scheme<\/a>. The detailed syllabus of image and video analytics is as follows. <\/p>\n<p><h4>Course Objectives:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit I<\/h4>\n<p>INTRODUCTION<br \/>\nComputer Vision &#8211; Image representation and image analysis tasks &#8211; Image representations -digitization &#8211; properties &#8211; color images &#8211; Data structures for Image Analysis &#8211; Levels of image data representation &#8211; Traditional and Hierarchical image data structures.\n<\/p>\n<p><h4>Unit II<\/h4>\n<p>IMAGE PRE-PROCESSING<br \/>\nLocal pre-processing &#8211; Image smoothing &#8211; Edge detectors &#8211; Zero-crossings of the second derivative &#8211; Scale in image processing &#8211; Canny edge detection &#8211; Parametric edge models &#8211; Edges in multi-speralct images &#8211; Local pre-processing in the frequency domain &#8211; Line detection by local pre-processing operators &#8211; Image restoration.\n<\/p>\n<p><h4>Unit III<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit IV<\/h4>\n<p>FACE RECOGNITION AND GESTURE RECOGNITION<br \/>\nFace Recognition-Introduction-Applications of Face Recognition-Process of Face RecognitionDeepFace solution by Facebook-FaceNet for Face Recognition- Implementation using FaceNet-Gesture Recognition.\n<\/p>\n<p><h4>Unit V<\/h4>\n<p>VIDEO ANALYTICS<br \/>\nVideo Processing &#8211; use cases of video analytics-Vanishing Gradient and exploding gradient problem-RestNet architecture-RestNet and skip connections-Inception Network-GoogleNet architecture-Improvement in Inception v2-Video analytics-RestNet and Inception v3.\n<\/p>\n<p><h4>List of Exercises:<\/h4>\n<\/p>\n<p><h4><\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Course Outcomes:<\/h4>\n<p>At the end of this course, the students will be able to:<\/p>\n<ol>\n<li>Understand the basics of image processing techniques for computer vision and video analysis.<\/li>\n<li>Explain the techniques used for image pre-processing.<\/li>\n<li>Develop various object detection techniques.<\/li>\n<li>Understand the various face recognition mechanisms.<\/li>\n<li>Elaborate on deep learning-based video analytics.<\/li>\n<\/ol>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Milan Sonka, Vaclav Hlavac, Roger Boyle, \u201cImage Processing, Analysis, and Machine Vision\u201d, 4nd edition, Thomson Learning, 2013.<\/li>\n<li>Vaibhav Verdhan,(2021, Computer Vision Using Deep Learning Neural Network Architectures with Python and Keras,Apress 2021(UNIT-III,IV and V)<\/li>\n<\/ol>\n<p><h4>Reference Books:<\/h4>\n<ol>\n<li>Richard Szeliski, \u201cComputer Vision: Algorithms and Applications\u201d, Springer Verlag London Limited,2011.<\/li>\n<li>Caifeng Shan, FatihPorikli, Tao Xiang, Shaogang Gong, \u201cVideo Analytics for Business Intelligence\u201d, Springer, 2012.<\/li>\n<li>D. A. Forsyth, J. Ponce, \u201cComputer Vision: A Modern Approach\u201d, Pearson Education, 2003.<\/li>\n<li>E. R. Davies, (2012), \u201cComputer &amp; Machine Vision\u201d, Fourth Edition, Academic Press.<\/li>\n<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all the other subjects of Computer Science &amp; Design 6th Sem, visit <a class=\"rank-math-link\" href=\"..\/category\/csd+6th-sem\">CSD 6th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Computer Science &amp; Design results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University CSD all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Image and Video Analytics detailed syllabus for Computer Science &amp; Design (CSD) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSD [&hellip;]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[156],"tags":[],"class_list":["post-56072","post","type-post","status-publish","format-standard","hentry","category-csd"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/56072","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=56072"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/56072\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=56072"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=56072"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=56072"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}