By Michael A. Smith
Multimodal Video Characterization and Summarization is a invaluable learn software for either execs and academicians operating within the video field.
This booklet describes the method for utilizing multimodal audio, snapshot, and textual content expertise to signify video content material. This new and groundbreaking technological know-how has ended in many advances in video figuring out, akin to the advance of a video precis. purposes and technique for developing video summaries are defined, in addition to user-studies for assessment and checking out.
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Extra info for Multimodal Video Characterization and Summarization
11(D), the camera tracks the subject leaving a helicopter (Planet Earth II, WQED). Tracking is quite common in sports video, where cameras follow an athlete of focus or attention during play. Although we do not specifically detect tracking shots, its flow pattern is usually characterized by camera or object motion and subsequently used for summarization. 5. Zoom-in Shot - The zoom-in is used to focus on a particular subject. This procedure is characterized by a narrowing of perspective and visual concentration.
This effect was popular in suspense movies prior to the 1950’s. It is seldom seen today and is mostly used as a method of comic relief. Broadcast news employs constant anchorperson and viewer dialogue, but not as a special effect. Human face detection is possible in some cases, as discussed in chapter 3. Unfortunately, it is very difficult to distinguish viewer dialogue from other face-forward scenarios in video. 2. Close-up Shots - When an object or person is placed close to the camera, it consumes the majority of the viewing space and serves as the dominant subject in the scene.
2 Video Captions and Graphics Text and graphics are used in a variety of ways to convey the video content to the viewer. They are most commonly used in news broadcast, where information must be absorbed in a short time. 10. 1. Video Captions - Text in video provides significant information as to the content of a scene. For example, statistical numbers and titles are not usually spoken but are included in captions for viewer inspection. Moreover, this information does not always appear in closed captions so detection in the image is crucial for identifying potential skim regions.
Multimodal Video Characterization and Summarization by Michael A. Smith