Reference EntryDOI
Video Summarization using Keyframe Extraction and Video Skimming.
Shruti Jadon,Mahmood Jasim +1 more
TLDR
In this article, the authors employ different Algorithmic methodologies including local features and deep neural networks along with multiple clustering methods to find an effective way of summarizing a video by interesting keyframe extraction.Abstract:
Video is one of the robust sources of information and the consumption of
online and offline videos has reached an unprecedented level in the last few
years. A fundamental challenge of extracting information from videos is a
viewer has to go through the complete video to understand the context, as
opposed to an image where the viewer can extract information from a single
frame. In this work, we attempt to employ different Algorithmic methodologies
including local features and deep neural networks along with multiple
clustering methods to find an effective way of summarizing a video by
interesting keyframe extraction.read more
Citations
More filters
Book ChapterDOI
Improving Siamese Networks for One-Shot Learning Using Kernel-Based Activation Functions
TL;DR: This paper presents a method to improve on their accuracy using Kafnets (kernel-based non-parametric activation functions for neural networks) by learning proper embeddings with relatively less number of epochs and achieves strong results which exceed those of ReLU based deep learning models.
Journal ArticleDOI
Overview of Lifelogging: Current Challenges and Advances
TL;DR: Lifelogging as mentioned in this paper is the process of digital tracking of person's daily experiences for a variety of purposes, such as wellbeing, entertainment, healthcare systems, and intelligent environments, and offers the promise to record and store large volumes of personal data using inexpensive tools.
Proceedings ArticleDOI
Motion Based Video Skimming
TL;DR: This work describes an unsupervised technique that automatically extracts the important clips from an input video and generates a summarized version of that video.
References
More filters
Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Journal ArticleDOI
Face Description with Local Binary Patterns: Application to Face Recognition
TL;DR: This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features that is assessed in the face recognition problem under different challenges.
Journal ArticleDOI
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
TL;DR: In this paper, the authors compare the role of smoothing/regularization processes that are required in local and global differential methods for optic flow computation, and propose a simple confidence measure that minimizes energy functionals.
Proceedings ArticleDOI
Discovering important people and objects for egocentric video summarization
TL;DR: This work introduced novel egocentric features to train a regressor that predicts important regions and produces significantly more informative summaries than traditional methods that often include irrelevant or redundant information.
Proceedings Article
Diverse Sequential Subset Selection for Supervised Video Summarization
TL;DR: This work proposes the sequential determinantal point process (seqDPP), a probabilistic model for diverse sequential subset selection, which heeds the inherent sequential structures in video data, thus overcoming the deficiency of the standard DPP.