Video Editing Software Evolution, New Solutions
As online videos are being shared more than ever before due to the rise of social media platforms such as Instagram, YouTube, and Twitter, having effective video editing software can mean the difference between millions of potential views or impressions. While many people may be familiar with common video editing software options such as Adobe Premiere, there are now many automatic machine learning video editors and enhancement software options available to consumers that will allow users to automatically edit videos in a matter of minutes. With these video editing offerings, consumers can now easily edit hours of video footage without having to spend an exorbitant amount of time and money. However, many people may still be wondering about the particulars of traditional video editing, from its definition to its applications. What’s more, consumers may also be wondering what the differences are when comparing traditional video editing to machine learning software.
Video editing definition
Video editing is defined as the process of manipulating recorded video footage, most often for release to the general public in some form or fashion. Video editing is used to structure and format all forms of video content, ranging from television shows to the advertisements that run during commercial breaks. Many forms of raw footage will need some type of refinement, whether it be something as simple as color correction or the cropping of a video. Other common video editing functions include:
- Exposure adjustment
- Fade out/fade in
- Cross dissolving
While all true video editing will be completed during the post-production process, not all of these processes, such as sound design or CGI, fall under the category of video editing. Contemporary video editing derives from analog recording or film splicing practices, in which audio signals are directly stored in some form of physical medium using mechanical systems such as the phonograph and phonautograph. While these analog methods were effective in delivering a quality end product, the process and costs involved made most video editing techniques impractical for the everyday working person.
As a testament to this fact, the process of editing videos in the 1950s often involved visualizing the recording track with ferrofluid, a liquid that is attracted to the pole of magnets, and then cutting this recorded track with a guillotine cutter or razor blade. The complications involved in this process hinges on the fact that analog recording practices function by replicating the original sound waves in recordings. As such, editing a single video could take days if not weeks due to the fact that the process had to be done manually. While splicing machines that could aid in this process were later developed, these machines were extremely expensive and difficult to use, restricting this form of editing almost exclusively to film students or professionals.
Due to the difficulty involved in the film splicing process, linear editing methods began to be developed in the 1970s and 1980s. Linear editing works by selectively copying one video to another through two machines that are connected together, with one machine acting as a source and the other machine acting as the recorder. While this form of video editing was easier to undergo than the film splicing process, a different set of complications arises during the linear editing process. This is due to the fact the film must be copied in a linear manner, making it almost impossible to go back and correct any mistakes or errors that may be observed at the end of the process. As such, a barrier of entry still existed in regards to consumers being able to engage in the video editing process.
As film and video editing software continued to evolve through the decades, digital editing methods that make use of computer software programs were developed in the 1990s. Digital video editing works by replicating a sample of a video, as opposed to copying the entire video as is done with analog and linear video editing. As opposed to linear editing, digital video editing methods are non-linear, meaning that users can make changes to any part of the video footage at any time. This greatly cuts down on the time needed to effectively edit videos, as users no longer had to repeat the entire video editing process in order to correct mistakes. Moreover, due to the fact that digital editing methods could be utilized via a personal computer, video editing became accessible to a wide range of people for the first time in history.
Despite advancements in regards to digital editing, early video editing software offerings still required a certain level of expertise and skill to be adequately used. Furthermore, there was a certain level of computer literacy that was needed to operate the machines that these software programs ran on. Additionally, these computers and software programs could prove to be very costly, as they were forms of technology that were very new to the consumer market in the early to mid-1990s. As such, video editing for the everyday working person did not truly become feasible until recent years, with the advent of automatic video editing software that took out much of the expertise involved and greatly lowered the cost.
What different types of video editing software are there?
With the rise of digital recording techniques replacing traditional analog methods, automatic video software options that could automate this process became more common. What’s more, the rise of smartphone applications has allowed for video editing software to be used via smartphones and tablets as opposed to only personal computers. The prices for these options will range anywhere from a monthly subscription to a yearly license fee, depending on the specific automatic video editing needs of the person or company looking to purchase the software. Common examples of video editing software include:
- Adobe Premiere Rush
- Adobe Premiere Pro
- CaseGuard Studio
- Apple iMovie
- Windows Movie Maker
- Davinci Resolve
- Avid Media Composer
Machine Learning Video Editing Software
As opposed to traditional video editing methods that required a certain level of advanced skill and expertise, there are now automatic video editing software options that can allow the average consumer to easily and effortlessly edit videos from the comfort of their home or office. These programs work by allowing users to select from a certain list of editing or visual effects at the beginning of the automatic video editing process. After a user has selected video editing inputs that they find appropriate, the automation process then begins. Additionally, these programs will also provide users with a percentage-based confidence level in relation to the effectiveness of the automatic video editing process. With this confidence level, users can still go back and make edits manually after the automation process has concluded to achieve the greatest possible results.
These automatic video editing software programs function based on machine learning techniques. Through these machine learning techniques, such as object detection, object tracking, smart resolution, and machine learning enhancement and redaction options, processes that would have taken days to complete manually can now be completed in a matter of minutes. For example, object detection will automatically detect the presence of certain objects within video recordings, as opposed to having to manually scan a recording for certain faces, people, or other forms of objects. Alternatively, object detection along with enhancements effects such as sharpen and contrast effects can be used to improve the pixelate and brightness of colors in video recordings respectively. With these machine learning techniques, the everyday user can now tackle the video editing process without having to feel like they are out of their depth.
As artificial intelligence and machine learning techniques have pushed the boundary on what can be accomplished through technology, video editing software programs can now accomplish more than ever before. New machine learning features such as automatic object detection and video enhancement techniques allow for users to edit their videos in the most efficient manner as possible, by greatly lowering the level of skill needed to make edits to video content. Through these means, people in all types of businesses can now effectively edit video recordings and content without having to spend an excessively high amount of money or engage in a complicated or confusing process.