Multimedia systems.edited.edited

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A. Elaborate using a valid example on the commercial value of multimedia systems. Multimedia systems are important in today's economic and commercial landscape; they help in communication, user engagement, and marketing. One of the primary examples of the commercial value of a multimedia system is digital advertisements(Reyna et al., 2018). Most companies leverage their multimedia content by combining videos, audio, images, and texts to create an appealing advertisement that can capture potential customers ' attention. Social media and other online platforms are great advertising mediums in our digital era. Multimedia systems content helps businesses share their messages memorably and dynamically compared to the traditional text-based approach. For instance, when an organization is launching a new product, they can use multimedia systems to create advertisements that show the benefits, features, and usage scenes of the product while at the same time making it appealing(Reyna et al., 2018). Using videos enables the user to have a virtual experience with the commodity that is being advertised, These multimedia systems help in facilitating interactive marketing techniques. Augmented reality and virtual reality can be used and have been combined and used in commercial applications. For example, someone who sells furniture can create an AR application that will allow their customers to arrange the furniture in their own houses before buying it(Reyna et al., 2018). This immersive and interactive method helps the customer's shopping experience and creates high conversion rates. Multimedia systems are more important than just advertising; they play a vital role in communicating in a corporation. Most businesses globally use video conferencing and multimedia presentations to enable
internal client interactions, training sessions, and communication. This saves resources, time, and more, ensuring engaging and effective communication. B. Using a diagram, discuss the three main multimedia domains and give examples of their Implementation in computer systems. 1. Conceptual Domain: The fundamental notions, themes, and ideas that inform the development of multimedia material are referred to as the conceptual domain in multimedia. Among the several elements of this area is material Ideation, which entails Ideation and conceptualization of the overarching subject or message that the multimedia material seeks to portray. The narrative structure, plot, and flow of the multimedia information are all included in storytelling in the conceptual domain to provide a seamless and interesting user experience ( Steinmetz & Nahrstedt, 2004) . This feature is also effective in determining the key point of information or message that the audience of the multimedia content is meant to receive. A team building a multimedia
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presentation for a product launch would concentrate on the salient points, advantages, and overarching brand message they wish to convey to the audience in the conceptual realm. 2. Audio-Visual Domain: This domain deals with the sensory elements of multimedia, including the combination of visual and audio components. It has Visuals and graphics, which include the creation of animations, pictures, and general aesthetics. Audio elements include voiceovers, music, and sound effects that are chosen and incorporated( Steinmetz & Nahrstedt, 2004) . The synchronization of visual and audio components results in a seamless and fascinating experience. To create a synchronized and captivating audio-visual experience, a multimedia project for a music video would entail creating visually arresting scenarios that go well with the musical arrangement. 3. Functional Domain . These technological features and characteristics of multimedia that make it possible to create, save, process, and distribute multimedia content are the core focus of the functional domain( Steinmetz & Nahrstedt, 2004) . This domain offers various functions, such as Procedures for Compression and implementing algorithms for effective multimedia data transmission and storage. Interactive Elements: Including features like responsive design, navigation, and user interaction. Data processing: Ensuring multimedia content is created, edited, and played back efficiently. Within the functional area, developing a multimedia application would entail putting user-friendly interfaces in place, streamlining data processing capabilities for seamless user interactions , and integrating video compression techniques for effective storage and streaming. C. Using graphical illustrations, explain the digitization process of multimedia systems.
Sampling: Audio: The analog signal is sampled at regular intervals for audio. The analog signal's amplitude is measured at every sampling point, and the results are transformed into digital format. The digital representation's fidelity increases with sampling frequency (McEachen, 2003) . Video: A grid of pixels makes up the continuous analog signal representing the video's visual information. The color and intensity of each pixel are sampled and transformed into digital values. Quantization: Following sampling, a finite set of discrete values must be created from the continuous range of amplitude values (for audio) or color/intensity values (for video) (McEachen, 2003) . We refer to this procedure as quantization. The finer the resolution of the digital representation, the more bits are used for quantization. Encoding:
Afterward, various encoding techniques are used to encode the quantized values into a digital format (McEachen, 2003) . While video can be encoded into formats like MPEG or AVI, common formats for audio are WAV or MP3. These formats define the compression and storage of digital data. Storage/Transmission: Multimedia content can be stored on digital storage devices or transmitted over digital communication channels once digitized and encoded. This is crucial for applications such as streaming and video. D. Discuss the two categories of compression algorithms and give examples of their use. 1. Lossless Compression: Algorithms for lossless compression shrink data files without sacrificing any information. The compressed data allows for an exact reconstruction of the original data. Among them are Text Compression: Text files are frequently compressed using lossless compression. The ZIP and GZIP algorithms are two examples (Muthuchamy,2018) . They are frequently utilized for data transmission and file archiving. Program Files: Lossless algorithms are frequently used to compress executable files and program libraries. This guarantees that following decompression, the program retains its original functionality. Database Compression is To lower storage needs without sacrificing data integrity; databases are compressed using a technique called lossless compression.
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. 2. Lossy Compression: Algorithms for lossy compression shrink the size of the file by removing certain data. The file gets smaller as a result, but quality is lost, and an exact reconstruction of the original data is impossible. Image Compression: JPEG and other image formats frequently employ lossy compression. Because they can be compressed into smaller file sizes, graphics and photos can be used in multimedia presentations and web-based applications (Muthuchamy,2018) . There is a slight reduction in image quality, though. MP3 is a widely used lossy compression format for audio files (Muthuchamy,2018) . By eliminating frequencies that the human ear might find difficult to detect, it drastically shrinks the file size. Least-like audio compression is frequently used by portable devices and streaming services. For video formats like MPEG, lossy compression is essential. In order to achieve smaller file sizes, it sacrifices some details but still allows for efficient video content storage and streaming. Lossy video compression is necessary for streaming services and video-sharing platforms.
References McEachen, J. C., Cusack, (2003). A model for a PC-based, universal-format, multimedia digitization system: Moving beyond the scanner1. Academic radiology , 10 (8), 914–918. https://www.sciencedirect.com/science/article/pii/S1076633203000102 Muthuchamy, K. (2018). A study on various data compression types and techniques. International Journal of Research and Analytical Reviews , 5 . http://ijrar.com/upload_issue/ijrar_issue_2012.pdf Reyna, Jorge & Hanham, José & Meier, Peter. (2018). A Framework for Digital Media Literacies for Teaching and Learning in Higher Education. E-Learning and Digital Media. 15. 10.1177/2042753018784952. Steinmetz, R., & Nahrstedt, K. (2004). Multimedia systems . Springer Science & Business Media. https://books.google.com/books? hl=en&lr=&id=34Uuim67mvUC&oi=fnd&pg=PR5&dq=main+multimedia+domains+and+give+exa mples+of+their+Implementation+in+computer+systems.&ots=aXDGaQwcgy&sig=HG0tMONzxf4- MOeylAu_HyclG_8

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