{"product_id":"video-content-analysis-using-multimodal-information-for-movie-content-extraction-indexing-and-representation-9781441953650","title":"Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation","description":"\u003cp\u003e • Author(s): Ying Li\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Interactive \u0026amp; Multimedia\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWith the fast growth ofmultimedia information, content-based video anal- ysis, indexing and representation have attracted increasing attention in re- cent years. Many applications have emerged in these areas such as video- on-demand, distributed multimedia systems, digital video libraries, distance learning\/education, entertainment, surveillance and geographical information systems. The need for content-based video indexing and retrieval was also rec- ognized by ISOIMPEG, and a new international standard called \"Multimedia Content Description Interface\" (or in short, MPEG-7)was initialized in 1998 and finalized in September 2001. In this context, a systematic and thorough review ofexisting approaches as well as the state-of-the-art techniques in video content analysis, indexing and representation areas are investigated and studied in this book. In addition, we will specifically elaborate on a system which analyzes, indexes and abstracts movie contents based on the integration ofmultiple media modalities. Content ofeach part ofthis book is briefly previewed below. In the first part, we segment a video sequence into a set ofcascaded shots, where a shot consistsofone or more continuouslyrecorded image frames. Both raw and compressedvideo data will beinvestigated. Moreover, consideringthat there are always non-story units in real TV programs such as commercials, a novel commercial break detection\/extraction scheme is developed which ex- ploits both audio and visual cues to achieve robust results. Specifically, we first employ visual cues such as the video data statistics, the camera cut fre- quency, and the existenceofdelimiting black frames between commercials and programs, to obtain coarse-level detection results.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45281186709655,"sku":"9781441953650","price":7345.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781441953650.webp?v=1769298491","url":"https:\/\/atlanticbooks.com\/products\/video-content-analysis-using-multimodal-information-for-movie-content-extraction-indexing-and-representation-9781441953650","provider":"Atlantic Books","version":"1.0","type":"link"}