International Journal of Advance Computational Engineering and Networking (IJACEN)
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  Journal Paper

Paper Title :
A Survey On Text Based Video Retrieval Using Semantic And Visual Approach

Author :Vaidehi K. Bante, Avinash N Bhute

Article Citation :Vaidehi K. Bante ,Avinash N Bhute , (2015 ) " A Survey On Text Based Video Retrieval Using Semantic And Visual Approach " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 56-63, Volume-3, Issue-4

Abstract : In recent past, the cost for storing multimedia data and the digital multimedia storage grows is cheaper. So there is abundant number of videos available in the video repositories. Video sharing on the web is growing with a tremendous speed which creates perhaps the most heterogeneous and the largest publicly available video archive. There are vast amount of video archives including broadcast news, documentary videos, meeting videos, movies etc. Therefore video retrieval i.e, searching and retrieving videos relevant to a user defined query is one of the most popular topics in both multimedia research and real life applications. Text data present in the multimedia contains useful information for retrieving and indexing purpose. In current video search, the search results are influenced by the metadata information such as title, captions associated with them. Extracted text can be used to recognize the overlay, scene text, which is used for video retrieval. The main focus of work is 1) text retrieval and 2) semantic retrieval. The semantic concept: an objective linguistic description of an observable entity. The main contribution of this proposal is utilization of the semantic word similarity measures for the text-based retrieval of videos. This paper offers an overview of the different existing techniques in text , image and video based video retrieval and different approaches to search with in long videos . Keywords- CBIR, Key Frames, Multimedia Retrieval, Similarity Matching Algorithm, Text Frames Classification, Video Indexing, Video Retrieval System.

Type : Research paper

Published : Volume-3, Issue-4


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