This document provides guidance on creating a video abstract for a research paper. It defines a video abstract as a shorter video that retains the essential meaning of the original through a series of moving pictures. The document discusses techniques for video abstraction, including keyframes, animations, and PowerPoint presentations. It provides technical specifications for video quality and formatting and guidelines for video submission.

1. HOW TO PREPARE A PERFECT
VIDEO ABSTRACT FOR YOUR
RESEARCH PAPER?
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Pubrica
Group: www.pubrica.com
Email: sales@pubrica.com

2. In brief
Introduction
Techniques For Observation Video
Abstraction
Video Abstraction Proposed For
Observation
Video submission guidelines
Conclusion
Today's discussion

3. An article's abstract briefly describes a frequently
used document to pre-select content relevant to
the user.
The abstract and the document are written in the
same medium, text. In the multimedia era, video
abstractions might be used similarly: as brief
extracts that convey the essence of a longer
movie, with no interruption in the presenting
medium.
In brief

5. However, the current state of the art for indexing
and exploring huge video archives is to employ
textual abstracts.
A video abstract is a series of moving pictures
taken from a lengthier movie that is significantly
shorter than the original yet retains the original's
essential meaning.

6. The same copyright rules apply to video abstracts to the
corresponding article. The Video Abstract determines to emphasize
the most critical aspects of your research.
Your focus should be on strategies to resentment your audience's
interest and persuade them to read your work. As you will see in
these recommendations, high-quality videos may be made for a
reasonable price.
WHAT IS A VIDEO ABSTRACT?
Introduction

7. A technique for creating a video summary, which can be a sequence of
fixed pictures (keyframes) or moving images, is known as video
abstraction (video skims).
In terms of browsing and direction-finding, a good video abstract will
allow the user to obtain the most information about the target video
sequence in the shortest amount of time or enough information in the
shortest amount of time.
IMPORTANCE OF VIDEO ABSTRACTS

8. Various concepts and approaches for successful video content
abstraction have been presented throughout the years.
Here it describes the fundamental components of each method and
how they are addressed in individual works.

9. Colour-Based Techniques - Because of its insensitivity and stability
against changes in direction and size, the colour is the most
effective, expressive, and essential characteristic of each
frame/image.
Many video abstraction approaches exploited this feature
according to this characteristic.
Techniques For Observation
Video Abstraction

10. The colour histogram has been frequently utilized to produce
abstracted video by calculating the similarity between frames to
choose representative keyframes.
Animations - It might become difficult to convey some working
principles or occurrences with manual sketching abilities over time.
You can use publicly accessible animation software tools to create
dynamic or stationary picture graphics in such cases.

11. Unambiguous and straightforward representations are possible
using programmes like Animaker, Blender, K-3D, and Plastic
Animation Paper, and these are more aesthetically attractive and a
more cost-effective method to communicate your work in a
captivating way.
PowerPoint Presentation - Researchers have been using PowerPoint
to showcase their findings on various platforms for a long time. This
easy method may also be utilized to describe your study abstract
utilizing PowerPoint's insightful pictures.

12. It's also free to use and comes with all of the tools you'll need to
arrange your video abstractions with the help of clean slides. It's
more crucial to focus on the section than the facts of your study
while creating a narrative PowerPoint presentation for your video
abstract.
Event-Based Video Abstraction identifies and arranges important
events (at the highest semantic level) to preserve the original film's
spirit. An approach that combines motion analysis with video
skimming to create an event-based method examines the optical
flow to find exciting events and compare them to previous data.

13. If no events of interest were detected, continuous frame dropping
was employed, and those frames that featured events of interest
were kept in the video abstract.
Combination types- The other approach for segmenting and
classifying video segments used a mix of object and camera
movements. The motion metrics are calculated using two optical
flow algorithms, each employing two different keyframe selection
criteria.
The quality of this procedure is that it can create meaningful
abstracts for sports videos by collecting high activity material and
being threshold-independent, but it is a domain-specific approach.

14. Most video abstractions for research were created as browsing
tools to make big videos easier to view and explore. On the other
hand, video abstraction may be used as a preprocessing stage in
video indexing and retrieval applications.
The first stage in video analysis is pre-sampling, which picks
appropriate frames for subsequent processing and minimizes the
computing load. Incorrect sample rate results in a bad video
abstract (low sampling rate) or a video abstract that is too brief
(high sampling rate).
Video Abstraction Proposed
For Observation

15. The second stage in the video analysis module is feature extraction.
Feature selection and extraction are crucial processes that directly
impact the clustering algorithm's effectiveness. Feature selection
picks prominent characteristics, simple enough, and quickly
computed features that characterize unstructured data. In contrast,
feature extraction converts this input data from a high-dimensional
space to a lower-dimensional one.
Colour and texture are two critical aspects of any image's visual
substance. Typical colour feature extraction approaches include
colour histograms, colour moments, colour correlation, scalable
colour descriptor (SCD), and colour structure descriptor (CSD).

16. They have computed a colour histogram in HSV colour space to
extract colour features (which is close to human visualization). The
computed histogram was then quantized to 8 bins to reduce
dimensionality without sacrificing information (3).
Technical Specifications when Creating a video abstract, video, and
audio quality is critical. Making a compromise on one of these will
defeat producing a multimedia abstract.

17. Make sure your video is recorded in a quiet environment with no
background noises.
Record your voice with a high-quality microphone.
Record the abstract in a well-lit room to preserve an excellent
visual of it.
If not necessary, avoid using flash photography or videography.
Separate the narration from the video clip if possible, and this will
assist you in successfully managing your video's audio quality.

18. Accessibility- It's critical to save your movie in a format that
academics all around the world can understand.
Video formats such as MP4, MOV, WMV, and MKV are ideal since
they are widely used and compatible with most operating systems.
Maintain an appropriate aspect ratio to accommodate all screen
sizes.

19. The author should include video picture files as supplementary
electronic material (ESM). When the manuscript is approved, an
associate editor in charge of video submissions will ask the author
to upload video pictures to MOMO (Make Our Movies Open)
(through the website) and e-mail the rest of the manuscript to the
associate editor.
On this occasion, instructions for the uploading procedure will be
supplied.
Video submission guidelines

20. The video cannot be changed or withdrawn once published in the
Online First article. We propose that writers upload a new file to
MOMO and get a different identification code if they want to
change the clip for any reason.
If you have any questions, please contact the head editor. Please
remember that we do not allow any films depicting human
conduct.

21. Many video applications rely on video abstraction, such as
indexing, browsing, and retrieval.
The size of the keyframe set, representation scope, base unit, and
underlying computational processes are all critical factors in
keyframe extraction. Similarly, five key aspects are identified and
explained for video skims the overall procedure, the duration of the
video skim, the working data domain, the underlying calculation
method, and the characteristics employed
Conclusion

22. Pubrica meets summit standards and protocols of journal
publishing ethics in every single phase of services and processes.
Pubrica adheres to authorship guidelines drafted by the
International Council of Medical Journal Editors (ICJME), and the
scope for services will be routinely updated as per the Committee
of Publication Ethics (COPE) and International Society of Medical
Publication Professionals guidelines (ISMPP).
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