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to the difficulty of quickly accessing the content of interest in a long video lecture. In this work, we present “video indexing” and “keyword search” that facilitate access to video content and enhances user experience. Video indexing divides a video lecture into segments indicating
Images that used to characterize high-definition Images from web is very difficult task. So, In this paper we propose unique web Image re-ranking framework that offline and online learned Images visual and semantic meaning regarding with numerous query keywords. These visual and semantic meaning of Images extended to visual
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.