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Object Detection in Video Frames Using Various Approaches
KALAIVANI.R, MANICHA CHEZHIAN.R Research Scholar, Computer Science, NGM College, Coimbatore, India Associate Professor, Computer Science, NGM College, Coimbatore, India
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Abstract: This paper presents a way to modify the existing Exemplar-Based Image Inpainting. The increased processing time required for this algorithm will be essential to achieve perceptual difference in the quality of filling. The main focus is to better the priority function which will be reflected in the results in contrast to the unmodified algorithm. A new algorithm is planned for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually believable way. In ancient times, this type of difficulty has been calculated by two classes of algorithms: (i) “texture synthesis” algorithms (ii) “inpainting” techniques. This paper presents a novel and efficient algorithm that combines the advantages of these two approaches but applied this same algorithm on modified image this gives the good result on one fourth less time to fill the target region.
Keywords: Image Inpainting, Texture Synthesis, Simultaneous Texture and Structure transmission, Exemplar-Based Image Inpainting
Keywords: Image Inpainting, Texture Synthesis, Simultaneous Texture and Structure transmission, Exemplar-Based Image Inpainting
How to Cite:
[1] KALAIVANI.R, MANICHA CHEZHIAN.R Research Scholar, Computer Science, NGM College, Coimbatore, India Associate Professor, Computer Science, NGM College, Coimbatore, India, “Object Detection in Video Frames Using Various Approaches,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
