What is a video abstract?

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.

Importance of video abstracts

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.


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.

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.

Motion-Based Technique - Pixel to pixel frame differences and optical flow are the two most popular approaches for motion estimation. For the first time, video abstraction offered a motion estimate approach for extracting keyframes.

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.

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.


  • independent, but it is a domain-specific approach.


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.

  1. 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).
  2. 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.
  3. 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). 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).
  4. 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.
  • 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.

Video submission guidelines

  • 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.
  • 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.


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Reference: https://pubrica.com/services/publication-support/Video-Abstract/


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