International Research Journal of Engineering and Technology Volume: 04 Issue: 03 |Mar -2017
(IRJET)
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e-ISSN: 2395 -0056
p-ISSN: 2395-0072
Video Summarization Pallavi Taru1, Snehal Hiray2, Shashank Gurnalkar3, Ashlesha Gokhale4 1Computer
Engineering (B.E.), P.I.C.T, Pune, Maharashtra, India
2Computer
Engineering (B.E.), P.I.C.T, Pune, Maharashtra, India
3Computer
Engineering (B.E.), P.I.C.T, Pune, Maharashtra, India
4Computer
Engineering (B.E.), P.I.C.T, Pune, Maharashtra, India
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Abstract
- This paper proposes an innovative
need of the day to save time and grasp just summary of video which is in text format. This problem can be solved using Intelligent Summarization of Videos which will be useful for educational purpose where the time of students can be saved and they will have like notes of that video.
summarization of video in text format.Natural Language Processing is the vast area which has great importance when people started to interpret human language from one form to another form. A summarization is a system that produces a condensed representation of its inputs for user consumption.With the explosion of abundant data present on social media, it has become important to analyze this text for seeking information and use it for an advantage of various application and people.Generating the summary of video in text format will be useful to quickly get the relevant information of the video content as well as to get the abstract idea of video content of long duration.
3. ARCHITECTURE
Key Words:
NLP,video analysis,text analysis, summarization,speech recognition and synthesis.
1.INTRODUCTION In today’s world the abundant information available online but time is limited . With the advent of personal mobile computing devices, we are being presented with a barrage of information every minute. This makes it increasingly important to consume as much information as possible in the least amount of time while eliminating irrelevant and redundant data. The Video is another domain which falls prey to this information overload.
Fig -1: Architecture diagram In our system,the main task is to get the text file of video content from video.By using various API’s text file of that video can be achieved.Following steps explains the architecture in detail:
Text Summarization is an approach that can be used to get text format summary of the video. This basically uses Natural Language Processing principles and algorithms to generate efficient Summaries.
A) Conversion of Video file into an Audio file: Firstly we will extract audio from video using API. B)Conversion of Audio file into a Text file:
2. MOTIVATION
Then next task is to convert that audio to text using API.So,we will get the text file that video.
There are some videos which is of very long duration and viewers of that video not have much time to go through the whole video.The viewer just wants to know an overview of that video.Many times it also happens that viewer goes through video on the particular topic and at the end of viewer come to know that video is not a relevant topic for which viewer is searching. It is a dire
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C)Pre-processing of Text: Pre-processing method plays a very important role in text mining techniques and applications. It is the first step in the text mining process.Pre-processing involves stop
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