In the development of technology, the digital media content increased rapidly due to various factors. Among available data, multimedia is one that consists of complex data sets. Today, technology brings image data that is a rich medium compared to any other information source. Today, digital video is an important information source which is used in education, medicine, engineering, and entrainment. For this huge collection of data, it is really a challenging job for the user to extract the needed information. We need urgent techniques for organizing, analyzing, representing, and indexing the available data. Content-based information analysis and extraction is an important field of study today. The proposed technique brings an effective video retrieval works for all types of video files, and also it eliminates the problems faced in video data mining. The experimental results have also verified this.
CITATION STYLE
Saravanan, D., & Joseph, D. (2019). Image data extraction using image similarities. In Lecture Notes in Electrical Engineering (Vol. 521, pp. 409–420). Springer Verlag. https://doi.org/10.1007/978-981-13-1906-8_43
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