Search
Now showing items 1-10 of 12
Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding
(Springer, 2020)
This paper proposes learning-based approaches for transcoding MPEG-2 video into HEVC. In the training mode of the transcoder, mappings between extracted features and split decisions are calculated. While in the transcoding ...
A regression-based framework for estimating the objective quality of HEVC coding units and video frames
(Elsevier, 2015-05)
A no-reference objective quality estimation framework is proposed. The framework is suitable for any block-based video codec. In the proposed solution, features are extracted from coding units and summarized to form features ...
H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression
(Springer, 2015)
This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. The two solutions are online and offline polynomial regression modeling. In ...
MPEG-2 to HEVC Video Transcoding With Content-Based Modeling
(IEEE, 2013)
This paper proposes an efficient MPEG-2 to HEVC video transcoder. The objective of the transcoder is to migrate the abundant MPEG-2 video content to the emerging HEVC video coding standard. The transcoder introduces a ...
Detecting Double and Triple Compression in HEVC Videos Using the Same Bit Rate
(Springer, 2021)
Digital video forensics refers to the process of analysing, examining, evaluating and comparing a video for use in legal matters. In digital video forensics, the main aim is to detect and identify video forgery to ensure ...
HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors
(IEEE, 2022)
A high capacity message embedding in encrypted HEVC video is proposed in this paper. The challenges addressed in this paper include keeping the encrypted video compliant with standardized decoders, correctly decrypting the ...
Data Embedding in Scrambled Video by Rotating Motion Vectors
(Springer, 2022-03)
Data embedding in videos has several important applications including Digital Rights Management, preserving confidentiality of content, authentication and tampering detection. This paper proposes a novel data embedding ...
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
(Sage Publishing, 2021)
Conventional damage detection techniques are gradually being replaced by state-of-the-art smart monitoring and decision-making solutions. Near real-time and online damage assessment in structural health monitoring (SHM) ...
Prediction of EV Charging Behavior Using Machine Learning
(IEEE Access, 2021)
As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. One of the key challenges, however, ...
Video-Based Recognition of Human Activity Using Novel Feature Extraction Techniques
(MDPI, 2023-06-05)
This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature ...