femi-adeyemi-ejeye

Dr Femi Adeyemi-Ejeye


Lecturer in Video Technology
Bsc, Msc, PhD
+44 (0)1483 688842
04 BC 03
Monday: 16:00-17:00, Friday: 13:00-15:00

Academic and research departments

Department of Music and Media.

Biography

Areas of specialism

Video Compression; Video Transmission; Ultra-High Definition; 360VR

University roles and responsibilities

  • Admissions Tutor, Film and Video Production Technology
  • Deputy Chair, Early Career Researchers Forum

Affiliations and memberships

Institute of Electrical and Electronics Engineering
Member
Video Quality Experts Group (VQEG)
Member

Research

Research interests

My teaching

Supervision

Postgraduate research supervision

My publications

Publications

Adeyemi-Ejeye Anthony, Alreshoodi M, Al-Jobouri L, Fleury M, Woods J, Medhi M (2017) IEEE 802.11ac wireless delivery of 4kUHD video: The impact of packet loss, ICCE-Berlin 2017 Proceedings IEEE
This paper examines the 4kUHD video quality
from streaming over an IEEE 802.11ac wireless channel, given
measured levels of packet loss. Findings suggest that there is a
strong content dependency to loss impact upon video quality but
that, for short-range transmission, the quality is acceptable,
making 4kUHD feasible on head-mounted displays.
Alreshoodi M, Adeyemi-Ejeye Anthony, Woods J, Walker SD (2015) Fuzzy logic inference system-based hybrid quality prediction model for wireless 4kUHD H.265-coded video streaming, IET Networks. Special Issue on Creating a Smarter Environment through the Advancement of Communication Systems, Networks and Applications 4 (6) pp. 296-303 Institution of Engineering and Technology
Networked visual applications such video streaming have grown exponentially in recent years, yet are known to
be sensitive to network impairments. However, available measurement techniques that adopt a full reference model are
impractical in real-time streaming because they require the original video sequence available at the receivers side. The
primary aim of this study is to present a hybrid no-reference prediction model for the perceptual quality of 4kUHD
H.265-coded video in the wireless domain. The contributions of this paper are two-fold: first, an investigation of the
impact of quality of service (QoS) parameters on 4kUHD H.265-coded video transmission in an experimental
environment; second, objective model based on fuzzy logic inference system is developed to predict the visual quality
by mapping QoS parameters to the measured quality of experience. The model is evaluated in contrast to random
neural networks. The results show that good prediction accuracy was obtained from the proposed hybrid prediction
model. This study will help in the development of a reference-free video quality prediction model and QoS control
methods for 4kUHD video streaming.
Adeyemi-Ejeye Anthony, Mehdi M, Martini MG, Phillip N, Orwell J (2017) Design of a Hybrid Multi-Occupant Visitor Communication and Door Control System, ICCE-Berlin 2017 Proceedings IEEE
Door phone systems, allowing occupants of a building
to communicate with visitors at the door, have evolved over
the years, with the current advancements being a fully internet
protocol (IP) based solution. In order to adopt newer IP based
solutions, current analogue systems can be replaced, yet this may
be costly and cumbersome, especially in a conventional multioccupant
building. We therefore propose an architecture which
supports current analogue door phone systems, and also provides
IP based functionality. We have implemented the proposed
architecture based on SIP, WebRTC and an IoT gateway system
connected to the multi-occupant conventional video door phone
system.
Alreshoodi M, Adeyemi-Ejeye Anthony, Woods J, Walker SD, Pokhrel J (2016) Interval Type-2 Fuzzy Logic Quality Prediction Model for Wireless 4kUHD H.265-coded Video Streaming, ICCE 2016 Proceedings pp. 407-408 IEEE
This paper proposes a prediction model for the
perceptual quality of wireless 4kUHD H.265 video streaming.
Based on Interval Type-2 Fuzzy Logic System (IT2FLS), the
model exploits application and physical layer parameters. The
results show that good prediction accuracy was obtained from
the proposed prediction model. This study should help in the
development of a reference-free video quality prediction model
and QoS control methods for 4kUHD video streaming.
Adeyemi-Ejeye Anthony, Alreshoodi M, Walker SD (2017) Implementation of 4kUHD HEVC-content transmission, Multimedia Tools and Applications 76 (17) pp. 18099-18118 Springer
The Internet of things (IoT) has received a great deal of attention in recent years, and is still being approached with a wide range of views. At the same time, video data now accounts for over half of the internet traffic. With the current availability of beyond high definition, it is worth understanding the performance effects, especially for real-time applications. High Efficiency Video Coding (HEVC) aims to provide reduction in bandwidth utilisation while maintaining perceived video quality in comparison with its predecessor codecs. Its adoption aims to provide for areas such as television broadcast, multimedia streaming/storage, and mobile communications with significant improvements. Although there have been attempts at HEVC streaming, the literature/implementations offered do not take into consideration changes in the HEVC specifications. Beyond this point, it seems little research exists on real-time HEVC coded content live streaming. Our contribution fills this current gap in enabling compliant and real-time networked HEVC visual applications. This is done implementing a technique for real-time HEVC encapsulation in MPEG-2 Transmission Stream (MPEG-2 TS) and HTTP Live Streaming (HLS), thereby removing the need for multi-platform clients to receive and decode HEVC streams. It is taken further by evaluating the transmission of 4k UHDTV HEVC-coded content in a typical wireless environment using both computers and mobile devices, while considering well-known factors such as obstruction, interference and other unseen factors that affect the network performance and video quality. Our results suggest that 4kUHD can be streamed at 13.5 Mb/s, and can be delivered to multiple devices without loss in perceived quality.
Alreshoodi M, Adeyemi-Ejeye Anthony, Aljobouri L, Fleury M, Alzahrani B (2017) Packet Loss Visibility for Higher Resolution Video on Portable
Devices,
2017 IEEE International Conference on Consumer Electronics (ICCE) IEEE
After adjusting for coding gain between the H.264 and
HEVC codecs, a comparison is made between the two codecs?
robustness to packet loss. A counter-intuitive finding arises that the
less efficient codec is less affected by packet loss than the more
efficient codec, even at very low levels of packet loss. The findings
will be of interest to those designing portable devices that can display
up to 4kUHD video.
Adeyemi-Ejeye Anthony, Alreshoodi M, Al-Jobouri L, Fleury M, Woods J (2017) Packet loss visibility across SD, HD, 3D, and UHD video streams, Journal of Visual Communication and Image Representation 45 pp. 95-106 Elsevier
The trend towards video streaming with increased spatial resolutions and
dimensions, SD, HD, 3D, and 4kUHD, even for portable devices has important
implications for displayed video quality. There is an interplay between
packetization, packet loss visibility, choice of codec, and viewing conditions,
which implies that prior studies at lower resolutions may not be as relevant.
This paper presents two sets of experiments, the one at a Variable BitRate
(VBR) and the other at a Constant BitRate(CBR), which highlight different
aspects of the interpretation. The latter experiments also compare and
contrast encoding with either an H.264 or an High Efficiency Video Coding
(HEVC) codec, with all results recorded as objective Mean Opinion Score
(MOS). The video quality assessments will be of interest to those considering:
the bitrates and expected quality in error-prone environments; or, in
fact, whether to use a reliable transport protocol to prevent all errors, at a
cost in jitter and latency, rather than tolerate low levels of packet errors.
Adeyemi-Ejeye A. O., Alreshoodi M., Al-Jobouri L., Fleury M. (2018) Prospects for live higher resolution video streaming to mobile devices: achievable quality across wireless links, Journal of Real-Time Image Processing Springer Verlag
From a review of the literature and a range of experiments, this paper demonstrates that live video streaming to mobile devices with pixel resolutions from Standard Definition up to 4k Ultra High Definition (UHD) is now becoming feasible by means of high-throughput IEEE 802.11ad at 60 GHz or 802.11ac at 5 GHz, and 4kUHD streaming is even possible with 802.11n operating at 5 GHz. The paper, by a customized implementation, also shows that real-time compression, assisted by Graphical Processing Units (GPUs) at 4kUHD, is also becoming feasible. The paper further considers the impact of packet loss on H.264/AVC and HEVC codec compressed video streams in terms of Structural Similarity (SSIM) index video quality. It additionally gives an indication of wireless network latencies and currently feasible frame rates. Findings suggest that, for medium-range transmission, the video quality may be acceptable at low packet loss rates. For hardware-accelerated 4kUHD encoding, standard frame rates may be possible but appropriate higher frame rates are only just being reached in hardware implementations. The target bitrate was found to be important in determining the display quality, which depends on the coding complexity of the video content. Higher compressed bitrates are recommended, as video quality may improve disproportionately as a result.
Parker M.C., Koczian G., Adeyemi-Ejeye F., Quinlan T., Walker S.D., Legarrea A., Siddiqui M.S., Escalona E., Spirou S., Kritharidis D., Habel K., Jungnickel V., Trouva E., Kourtis A., Liu Y., Frigau M. Sander, Point J.C., Lyberopoulos G., Theodoropoulou E., Filis K., Rokkas Th., Neokosmidis I., Levi D., Zetserov E., Foglar A., Ulbricht M., Peternel B., Gustincic D. (2016) CHARISMA: Converged heterogeneous advanced 5G cloud-RAN architecture for intelligent and secure media access, Proceedings of the 2016 European Conference on Networks and Communications (EuCNC) pp. 240-244 Institute of Electrical and Electronics Engineers (IEEE)
5G networks aims to tackle the complex demands of emerging business paradigms, such as Smart Cities, eHealth, and Industry 4.0. In this paper, a hierarchical, distributed-intelligence 5G architecture is described, offering low latency, security, and open access as features intrinsic to its design. SDN and NFV principles are employed to create a networking solution applicable to a large number of high-specification 5G use case scenarios.