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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
2,297 Views
17 Pages

Construction of a Compact and High-Precision Classifier in the Inductive Learning Method for Prediction and Diagnostic Problems

  • Roman Kuzmich,
  • Alena Stupina,
  • Andrey Yasinskiy,
  • Mariia Pokushko,
  • Roman Tsarev and
  • Ivan Boubriak

18 December 2022

The study is dictated by the need to make reasonable decisions in the classification of observations, for example, in the problems of medical prediction and diagnostics. Today, as part of the digitalization in healthcare, decision-making by a doctor...

  • Article
  • Open Access
3 Citations
2,899 Views
16 Pages

16 December 2022

Intelligent video surveillance (IVS) technology is widely used in various security systems. However, quality degradation in surveillance images (SIs) may affect its performance on vision-based tasks, leading to the difficulties in the IVS system extr...

  • Article
  • Open Access
4 Citations
2,254 Views
15 Pages

LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge

  • Bhuvaneswari Amma Narayanavadivoo Gopinathan,
  • Velliangiri Sarveshwaran,
  • Vinayakumar Ravi and
  • Rajasekhar Chaganti

16 December 2022

Cyberattacks have increased as a consequence of the expansion of the Internet of Things (IoT). It is necessary to detect anomalies so that smart devices need to be protected from these attacks, which must be mitigated at the edge of the IoT network....

  • Article
  • Open Access
5 Citations
4,881 Views
17 Pages

16 December 2022

Online contacts and other activities on the Internet came into focus given the increased use during the COVID-19 pandemic. The online environment is a setting for problematic Internet use, including cyberbullying, and research so far shows that inclu...

  • Article
  • Open Access
10 Citations
7,391 Views
17 Pages

HIL Flight Simulator for VTOL-UAV Pilot Training Using X-Plane

  • Daniel Aláez,
  • Xabier Olaz,
  • Manuel Prieto,
  • Pablo Porcellinis and
  • Jesús Villadangos

16 December 2022

With the increasing popularity of vertical take-off and landing unmanned aerial vehicles (VTOL UAVs), a new problem arises: pilot training. Most conventional pilot training simulators are designed for full-scale aircrafts, while most UAV simulators a...

  • Article
  • Open Access
6 Citations
5,814 Views
24 Pages

Disentangling Determinants of Ride-Hailing Services among Malaysian Drivers

  • Maryum Zaigham,
  • Christie Pei-Yee Chin and
  • Jakaria Dasan

16 December 2022

Ride-hailing has emerged as one of the progressive sharing economy platforms. As a digital platform, both riders and drivers are critical to achieving sustainable ride-hailing transactions. Previous studies have gained little insight into ride-hailin...

  • Article
  • Open Access
12 Citations
2,582 Views
16 Pages

Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures

  • Premaladha Jayaraman,
  • Nirmala Veeramani,
  • Raghunathan Krishankumar,
  • Kattur Soundarapandian Ravichandran,
  • Fausto Cavallaro,
  • Pratibha Rani and
  • Abbas Mardani

15 December 2022

In recent years, skin cancer diagnosis has been aided by the most sophisticated and advanced machine learning algorithms, primarily implemented in the spatial domain. In this research work, we concentrated on two crucial phases of a computer-aided di...

  • Article
  • Open Access
1 Citations
2,178 Views
13 Pages

15 December 2022

The natural language model BERT uses a large-scale unsupervised corpus to accumulate rich linguistic knowledge during its pretraining stage, and then, the information is fine-tuned for specific downstream tasks, which greatly improves the understandi...

  • Article
  • Open Access
4 Citations
3,768 Views
13 Pages

14 December 2022

Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system. Most existing methods usually treat medical queries intent classification and...

  • Review
  • Open Access
11 Citations
4,539 Views
10 Pages

Initial Cybersecurity Framework in the New Capital City of Indonesia: Factors, Objectives, and Technology

  • Dana Indra Sensuse,
  • Prasetyo Adi Wibowo Putro,
  • Rini Rachmawati and
  • Wikan Danar Sunindyo

14 December 2022

As a newly built city and the new capital of Indonesia, Ibu Kota Nusantara (IKN), is expected to become known worldwide as an economic driver, a symbol of national identity, and a sustainable city. As the nation’s capital, IKN will become the l...

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Information - ISSN 2078-2489