Abstract
Video Analysis has rooted tremendously in many applications with the development of new technologies. Video Analysis plays vital role in many real time event applications where the small content from video gives a full story of the whole video. In such case the analysis of video becomes important to study the data contents present in the videos rather than its attributes. Key frame extraction is a method used for video indexing and in video retrieval applications. The proposed work presents the extraction of key frames from a given video using Discrete Cosine Transform (DCT). The expirmenatal result obtained show competative outcomes with 82.75% completeness of video with 32 × 32 pixel coefficent as compared to 64 × 64 and 128 × 128 coefficients of frames by good time and space complexity compared to results reported in literature.
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Gornale, S.S., Babaleshwar, A.K., Yannawar, P.L. (2021). Extraction of Key Frame from Random Videos Based On Discrete Cosine Transformation. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_24
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DOI: https://doi.org/10.1007/978-981-16-0507-9_24
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