ESUMM: Event SUMMarization on Scale-Free Networks. Issue 3 (4th May 2019)

• Record Type: Journal Article
• Authors: Kumar, Krishan; Shrimankar, Deepti D.
• Is Part Of: IETE technical review. Volume 36:Issue 3(2019)
• Page Start: 265
• Page End: 274
• Publication Date: 2019-05-04
• Subjects: Chialvo map -- Event summarization -- Monocular videos -- Scale-free network -- Skimming -- Storyboard; Telecommunication -- Periodicals; Electronics -- Periodicals; Electronics; Telecommunication; Periodicals; 621.38
• DOI: 10.1080/02564602.2018.1454347
• Languages: English
• ISSNs: 0256-4602

Abstract

ABSTRACT: In this digital era, events based video summarization has become an emerging topic in the field of computer vision which finds its applications in video data management, highlights of a game, video surveillance, etc . In this work, we propose a novel network-based approach for event summarization. First, the scale-free network is mapped to a neural network, and then dynamics of a complex video are determined by Chiavlo maps of the network. Second, we declare the neurons as hubs that are exceedingly well linked up as opposed to a majority who receive very short connections. Eventually, these hubs assume as the key-figures of the outcomes; then hubs and all its associated neurons counted for the issue summaries. Experiments show that the proposed approach outperforms the previous existing approaches on Precision and F-measure. The computing cost shows that the proposed model meets the criteria for real-time applications.