ABSTRACT:

The rapid growth of consumer videos requires an effective and efficient content summarization method to provide a user-friendly way to manage and browse the huge amount of video data. Compared with most previous methods that focus on sports and news videos, the summarization of personal videos is more challenging because of its unconstrained content and the lack of any pre-imposed video structures. We formulate video summarization as a novel dictionary selection problem using sparsity consistency, where a dictionary of key frames is selected such that the original video can be best reconstructed from this representative dictionary. An efficient global optimization algorithm is introduced to solve the dictionary selection model with the convergence rates as $O(1/K^{2})$ (where $K$ is the iteration counter), in contrast to traditional sub-gradient descent methods of $O(1/sqrt {K})$. Our method provides a scalable solution for both key frame extraction and video skim generation, because one can select an arbitrary number of key frames to represent the original videos. Experiments on a human labeled benchmark dataset and comparisons to the state-of-the-art methods demonstrate the advantages of our algorithm.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :MetaFlow: A Scalable Metadata Lookup Service for Distributed File Systems in Data Centers - 2018ABSTRACT:In massive-scale distributed file systems, efficient metadata operations are vital since most file operations
PROJECT TITLE :Efficient Scalable Median Filtering Using Histogram-Based Operations - 2018ABSTRACT:Median filtering could be a smoothing technique for noise removal in pictures. Whereas there are various implementations of median
PROJECT TITLE :Scalable pCT Image Reconstruction Delivered as a Cloud Service - 2018ABSTRACT:We describe a cloud-based medical image reconstruction service designed to meet a true-time and daily demand to reconstruct thousands
PROJECT TITLE :Scalable Distributed Nonnegative Matrix Factorization with Block-Wise Updates - 2018ABSTRACT:Nonnegative Matrix Factorization (NMF) has been applied with nice success on a big selection of applications. As NMF is
PROJECT TITLE :Scalable Content-Aware Collaborative Filtering for Location Recommendation - 2018ABSTRACT:Location recommendation plays an essential role in serving to folks realize enticing places. Though recent research has studied

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry