Dissertations - M Tech (CS)
Permanent URI for this collectionhttp://164.52.219.250:4000/handle/10263/2147
These Dissertations were submitted in partial fulfilment of the requirements for the award of M TECH (Computer Science) Degree of Indian Statistical Institute
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Item Video Summarization using Neural Networks(Indian Statistical Institute, Kolkata, 2020-07) Kumar, ManishWith the rapid increase in video data, the need for video summarization has increased. it allows us to search and retrieve video data easily. In this work, we have tried to solve the problem of video summary using unsupervised learning. Our method is based on the extraction of key frames. So we rst segmented the shots and extracted key frames from each shot. And these key frames are combined to generate a storyboard. We have experimented with di erent clustering techniques such as k-mean, k-medoid and self-organizing maps. We evaluated our results using a human-generated summary.Item Semi-supervised clustering of stable instances(Indian Statistical Institute, Kolkata, 2018) Sanyal, DeepayanItem Hierarchical approach to document classification of 20 newsgroup dataset(Indian Statistical Institute, Kolkata, 2016) Dhamija, KanishkaItem Clustering and ranking unit bugs using dynamic invariants(Indian Statistical Institute, Kolkata, 2013) Jain, NehulItem Clustering of web search queries to identify users' intent(Indian Statistical Institute, Kolkata, 2014) Sarkar, SayantanItem Feature sensitive level set for clustering(Indian Statistical Institute, Kolkata, 2004) Gupta, AshishItem Clustering of gene expression data(Indian Statistical Institute, Kolkata, 2004) Venkatraman, V