Video retrieval: An accurate approach based on Kirsch descriptor

Shekar, B. H.; Holla, K. Raghurama; Kumari, Madhu

doi:10.1109/ic3i.2014.7019753

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Krisch descriptor based video retrieval process explained in [19], uses k-nearest neighbor search algorithm for sequential matching. Key frames are used to ease the retrieval purpose using video database of TRECVID.…”

Section: Related Workmentioning

confidence: 99%

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Visual Semantic Based 3D Video Retrieval System Using HDFS

Suguna²

2016

KSII TIIS

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This paper brings out a neoteric frame of reference for visual semantic based 3d video search and retrieval applications. Newfangled 3D retrieval application spotlight on shape analysis like object matching, classification and retrieval not only sticking up entirely with video retrieval. In this ambit, we delve into 3D-CBVR (Content Based Video Retrieval) concept for the first time. For this purpose, we intent to hitch on BOVW and Mapreduce in 3D framework. Instead of conventional shape based local descriptors, we tried to coalesce shape, color and texture for feature extraction. For this purpose, we have used combination of geometric & topological features for shape and 3D co-occurrence matrix for color and texture. After thriving extraction of local descriptors, TB-PCT (Threshold Based-Predictive Clustering Tree) algorithm is used to generate visual codebook and histogram is produced. Further, matching is performed using soft weighting scheme with L 2 distance function. As a final step, retrieved results are ranked according to the Index value and acknowledged to the user as a feedback .In order to handle prodigious amount of data and Efficacious retrieval, we have incorporated HDFS in our Intellection. Using 3D video dataset, we future the performance of our proposed system which can pan out that the proposed work gives meticulous result and also reduce the time intricacy.

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Section: Related Workmentioning

confidence: 99%

“…As a further step ahead, key frame selection process is used to make searching, browsing and video retrieval process more efficient. The notion of key frames represents the entire frame sequence [19]. From the entire frame sequence, we need to select a particular key frame.…”

Section: Proposed Systemmentioning

confidence: 99%