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Information, Volume 13, Issue 12

December 2022 - 39 articles

Cover Story: MV-HEVC uses a multi-layer coding approach, which requires all frames from other reference layers to be decoded prior to decoding a new layer. Thus, the multi-layer coding architecture would be a bottleneck when it comes to quicker frame streaming across different views. This paper presents an HEVC-based frame interleaved stereo/multiview video codec that uses a single-layer encoding approach to encode stereo and multiview video sequences. The frames of stereo or multiview videos are interleaved in such a way that encoding the resulting monoscopic video stream would maximize the exploitation of temporal, inter-view, and cross-view correlations, thus improving the overall coding efficiency. Results show the superior coding performance of the proposed codec to its anchor MV-HEVC codec. View this paper
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Articles (39)

  • Article
  • Open Access
4 Citations
2,787 Views
13 Pages

Cloud Gamification: Bibliometric Analysis and Research Advances

  • Myriam González-Limón and
  • Asunción Rodríguez-Ramos

13 December 2022

Research on gamification in the cloud has been increasing in recent years. The main objective of this work was to analyse the advances and progress reported in the scientific literature published internationally in cloud gamification from a bibliomet...

  • Article
  • Open Access
1,571 Views
37 Pages

12 December 2022

We study classes of geometric graphs, which all correspond to the following structural characteristic. For each instance of a vertex set drawn from a universe of possible vertices, each pair of vertices is either required to be connected, forbidden t...

  • Article
  • Open Access
3 Citations
2,515 Views
16 Pages

12 December 2022

The multi-model ensemble (MME) forecast for meteorological elements has been proved many times to be more skillful than the single model. It improves the forecast quality by integrating multiple sets of numerical forecast results with different spati...

  • Article
  • Open Access
59 Citations
13,109 Views
28 Pages

12 December 2022

Efforts have been dedicated by researchers in the field of natural language processing (NLP) to detecting and combating fake news using an assortment of machine learning (ML) and deep learning (DL) techniques. In this paper, a review of the existing...

  • Article
  • Open Access
12 Citations
9,917 Views
19 Pages

User-Generated Content in Social Media: A Twenty-Year Bibliometric Analysis in Hospitality

  • Fotis Kitsios,
  • Eleftheria Mitsopoulou,
  • Eleni Moustaka and
  • Maria Kamariotou

12 December 2022

This article aims to present a bibliometric analysis regarding social media platforms and User-Generated Content (UGC) in hospitality. One hundred fifty-one peer-reviewed articles were analyzed using Webster’s and Watson’s (2002) methodol...

  • Article
  • Open Access
10 Citations
6,239 Views
25 Pages

12 December 2022

This paper outlines the path towards a method focusing on a process model for the integrated engineering of Digital Innovation (DI) and Design Science Research (DSR). The use of the DSR methodology allows for achieving both scientific rigor and pract...

  • Article
  • Open Access
16 Citations
6,956 Views
13 Pages

12 December 2022

Insights and analysis are only as good as the available data. Data cleaning is one of the most important steps to create quality data decision making. Machine learning (ML) helps deal with data quickly, and to create error-free or limited-error datas...

  • Article
  • Open Access
2 Citations
1,824 Views
16 Pages

Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms

  • Stefanos Ougiaroglou,
  • Theodoros Mastromanolis,
  • Georgios Evangelidis and
  • Dionisis Margaris

10 December 2022

The Reduction by Space Partitioning (RSP3) algorithm is a well-known data reduction technique. It summarizes the training data and generates representative prototypes. Its goal is to reduce the computational cost of an instance-based classifier witho...

  • Article
  • Open Access
3 Citations
2,684 Views
19 Pages

9 December 2022

In recent years, the presence of malware has been growing exponentially, resulting in enormous demand for efficient malware classification methods. However, the existing machine learning-based classifiers have high false positive rates and cannot eff...

  • Article
  • Open Access
2 Citations
3,140 Views
20 Pages

How the V4 Nations Handle the Idea of Smart Cities

  • Roman Blazek,
  • Pavol Durana and
  • Jaroslav Jaros

8 December 2022

Smart city is a term that includes digital, information, and communication technologies that contribute to increasing the level and quality of life in individual cities. It focuses primarily on the efficient use of existing resources but also on the...

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Information - ISSN 2078-2489