An encoder software refers to an encoder application running on a PC that captures video from the PC itself or from a webcam (Laude, et. al, 2018). The software has numerous benefits, especially to coders and programmers. Coders use the encoder software following its ability to manipulate the codes and convert them into new formats. The converted information can further be embedded for live stream encoding. Moreover, coders use the software since it is capable of transmitting their codes to the viewers in accessible formats hence promote innovativeness. In general, encoding software provides features necessary for managing and controlling coding videos supporting the reason why coders use the encoder software.
Additionally, encoder software has the following advantages. To begin with, encoder software produces high-resolution videos that are convertible into different new formats. Consequently, the clarity of the videos and the formats enhance the learning of the codes. Following high-resolution code images, coders are able to read through the codes and easily pick any code errors that might be invisible in other formats. Consequently, high resolution has made coding easier to learn and correct improving diagnostic monitoring. Moreover, coders use the encoder software to make tutorials that enhance code learning hence growing innovativeness in programmers and coders. This makes the encoder software reliable and accurate, which is also a resultant benefit. The real-time video presented through the encoder facilitates learning as well (Huang et. al, 2018).
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Furthermore, encoder software fuses digital and optical technology which makes learning and live streaming of the codes easier. The software can be incorporated into existing applications defining its compatibility and flexibility nature. Furthermore, the software can fit on any PC platform, a benefit that increases its preference among the coders. For instance, a coder can manipulate the appearance of the codes in the live stream or add recorded codes for clarity and enhancement of understanding among coders. The live streaming encoding software facilitates code learning among developers since they can access the videos and tutorials that are necessary for learning. Moreover, it saves time by reducing setup time for other encoders.
Moreover, the encoder software has a compact size making installation easier since it does not consume more space in PC or any computer platform. In addition, it promotes tidiness following its compact nature and can easily be transferred from one platform to the other. The software supports integrated electronic and systems that improve the usage of the software, especially in the live streaming sector hence gaining flexibility. More importantly, the software has low-cost feedback. Consequently, this promotes its affordability among coders.
Despite multiple advantages characterizing the encoder software, it has several disadvantages that limit its usage. The encoder software requires high-speed coding practices in order to present huge content with limited time. In addition, it requires high level of accuracy among the coders in order to maintain the quality of the content presented. This limits the usage among moderate coders who are prone to errors and lower typing speed (Laude, et. al, 2018). Additionally, the size of the video encoded is usually large making storage of the videos somehow complicated considering the storage in the PC and computers. Live streaming encoding software requires strong internet connectivity, which increases the cost of its usage. Moreover, the cost is moderately high as compared with other encoders. Furthermore, the encoder software is prone to inaccuracy depending on the proficiency of the coder posing a disadvantage on its usage.
The main reason why coders might need to use coding manuals over the encoder software is to improve accuracy in the coding practice. Additionally, there are bountiful reasons for the usage of coding manuals among coders over encoder software. The coding manual facilitates training coders before they commit to living streaming encoder software (Huang et. al, 2018). Considering the fact that live streaming requires high-quality presentations, coders need to train and improve their accuracy before using encoding software. Therefore, coding manual facilitates proper training and presents a trial edition that improves the coder’s skills and effectiveness in using the encoding software. Furthermore, the coding manual helps coders define different methods for presenting codes, precisely and improve the typing speed that is necessary for the coders before they commit themselves to encoder software. Therefore, coders might use coding manuals in order to develop the qualities required for the encoding software.
In addition, coding manuals provide guidelines on different practices involved in coding. Comparing coding manuals with encoder software, they present guidelines that are necessary when presenting codes and the flow of the codes in programming. Encoder software presents a platform for real-time encoding that is less the guidelines required to present codes through the software (El-Shafai et. al, 2018). Therefore, coders might prefer the coding manuals in order to obtain the procedures required when presenting codes on different platforms. Moreover, coding manuals present complete code sets and illustrations of the expected outcomes hence improving the coding learning process.
Lastly, coding manuals incorporate coding packages that are easily accessible by coders unlike tutorials presented through encoder software that require time locating required packages. In addition, coding packages presented through coding manual occupy a relatively low space as compared with tutorials prepared through the software. In return, this attracts the preference of coders towards the coding manuals to encoder software. More coding guidelines are presented through the code packages as compared to the encoder software improving the coder’s learning through the coding manual. In conclusion, the coding manual facilitates good coding practice by availing all the packages necessary for code learning.
References
El-Shafai, W., El-Rabaie, S., El-Halawany, M. M., & El-Samie, F. E. A. (2018). Encoder-independent decoder-dependent depth-assisted error concealment algorithm for wireless 3D video communication. Multimedia Tools and Applications , 77 (11), 13145-13172.
Huang, C. C., Lin, T. A., Chang, S. K., & Chou, H. L. (2018). U.S. Patent Application No. 10/057,590 .
Laude, T., Adhisantoso, Y. G., Voges, J., Munderloh, M., & Ostermann, J. (2018, June). A Comparison of JEM and AV1 with HEVC: Coding Tools, Coding Efficiency and Complexity. In 2018 Picture Coding Symposium (PCS) (pp. 36-40). IEEE.
