HIERARCHICAL K-MEANS ALGORITHM(HK-MEANS) WITH AUTOMATICALLY DETECTED INITIAL CENTROIDS
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): RUPA G. MEHTA , VAISHALI R. PATEL
Abstract: Unsupervised learning is a technique to organize the data into meaningful way having similarity. Cluster analysis is the study of clustering techniques and algorithms which are helpful to discover important patterns from fundamental data without knowledge of category label for further analysis. k-Means algorithm is one of the most popular clustering algorithm among all partition based clustering algorithm to partition a dataset into meaningful patterns. k-Means algorithm suffers from the problem
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
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HYBRID APPROACH FOR SHOT BOUNDARY DETECTION FROM UNCOMPRESSED VIDEO STREAM
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): J.P. CHAUDHARI , KETAN CHAUDHARI
Abstract: To elaborate a video in terms of its content, it needs to be partitioned into its smallest visual unit called shot. To segment a video into shots, shot boundary is needed. Here hybrid approach adapted for uncompressed video shot transition detection. Color histogram is used for the cut and dissolve boundary. For cut boundary, traditional threshold technique works well but it fails in some cases like camera flash, fast zooming etc. To improve its performance 2nd derivative method is accepted for
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
- Views: 0
- Downloads: 0