Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework

Abstract

AbstractNowadays, there exist many video datasets that consume more in size. Searching for a certain pattern in the video dataset became very difficult. Hence, the proposed system takes certain patterns and searches the videos that consist of such patterns. This system requires converting the appropriate video into the text and saves such files as a respective video file name with suffix text as a keyword. Such a conversion should be done efficiently and manage the files in the cloud. Searching multiple patterns in the set of videos and displaying which videos consist of which patterns. These statistics are much useful for further analysis. Such analysis is helpful in justifying which videos are useful for their concern field. The advantages obtained are searching in an unknown environment such as a video dataset, producing the videos only for the given patterns, and methodology is made is simple and efficient. Not only destination type is video, but it could be even other types also. In such a situation also, the pattern will be processed in that environment and generates a report. Here, efficient text mining occurs on any video dataset. In the future, the input could be taken as audio-only and searching that given audio bit in the given audio file.KeywordsVideoPatternTranslationLanguage algorithmsSearchingOutput