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Besides the technological challenge of flying a space probe for ten years before arriving at the final mission destination, one is confronted with a potential loss of knowledge during this period. The purpose of this paper is to give an overview of the general knowledge management applied for such a mission. It aims to give details for a new approach, the video approach, to capture expertise knowledge of engineers and scientists.

The video approach included the visit of all instrument teams for several days, executing interviews with engineers, technicians and scientists. During the interviews a table of content (/toc/) with attached keywords was generated. The final video was transferred into a computer‐readable form and connected with the table of content. The methodology that was used to prepare and execute the interviews, the final video material and the storage and structure of the table of content and keywords is presented.

The experimenter interviews and the follow‐up work are finished. The paper finds that feedback received so far is positive and some experimenter teams use the approach for internal work.

The existing videos are not integrated into the existing standard office environment. Another technology step needs to integrate video capture, search and play into the existing, e.g. document processing, environment. The quality of the approach is difficult to estimate as the captured information might only be used in the years to come.

Proof of concept is given and lessons‐learned listed.

An new approach is documented giving technical implementation, setup, execution and approach details. Suitable as a reference paper for any organization with similar knowledge management requirements.

The purpose of this paper is to determine whether TAMS Analyzer and Viewshare are viable free and open source software data sharing and creation tools for those with limited funding and technological skills.

The participant observer method was used to collect experiential evidence while applying the tools to a collection of text-, image-, and video-based digital cultural records.

TAMS Analyzer was found to be a low barrier to entry tool for those with coding and qualitative data analysis experience. Those with general experience will be able to create datasets with the support of manuals and tutorials, while those with limited experience may find it difficult to use. Viewshare was found to be a low barrier to entry tool for sharing data online, and accessible for all skill levels.

TAMS Analyzer supports Mac and Linux platforms only, so a low-cost software recommendation was made for those in Windows environments.

Librarians can use these tools to address data access gaps while promoting library digital collections.

With a greater understanding of data tools, librarians can be advisors, collaborators, agents for data culture, and relevant participants in digital humanities scholarship.

The research evaluates both the capabilities of the tools and the barriers to using or accessing them, which are often neglected. The paper addresses a need in the literature for greater scrutiny of tools that are a critical component of the data ecology, and will further assist librarians when connecting scholars to tools of inquiry in an environment with limited funding and technical support.

The high-efficient processing of mass data is a primary issue in building and maintaining security video surveillance system. This paper aims to focus on the architecture of security video surveillance system, which was based on Hadoop parallel processing technology in big data environment.

A hardware framework of security video surveillance network cascaded system (SVSNCS) was constructed on the basis of Internet of Things, network cascade technology and Hadoop platform. Then, the architecture model of SVSNCS was proposed using the Hadoop and big data processing platform.

Finally, we suggested the procedure of video processing according to the cascade network characteristics.

Our paper, which focused on the architecture of security video surveillance system in big data environment on the basis of Hadoop parallel processing technology, provided high-quality video surveillance services for security area.

Streaming audio/video contents over the Internet requires large network bandwidth and timely delivery of media data. A streaming session is generally long and also needs a large I/O bandwidth at the streaming server. A streaming server, however, has limited network and I/O bandwidth. For this reason, a streaming server alone cannot scale a streaming service well. An entire audio/video media file often cannot be cached due to intellectual property right concerns of the content owners, security reasons, and also due to its large size. This makes a streaming service hard to scale using conventional proxy servers. Media file compression using variable‐bit‐rate (VBR) encoding is necessary to get constant quality video playback although it produces traffic bursts. Traffic bursts either waste network bandwidth or cause hiccups in the playback. Large network latency and jitter also cause long start‐up delay and unwanted pauses in the playback, respectively. In this paper, we propose a proxy based constant‐bit‐rate (CBR)‐transmission scheme for VBR‐encoded videos and a scalable streaming scheme that uses a CBRtransmission scheme to stream stored videos over the Internet. Our CBR‐streaming scheme allows a server to transmit a VBRencoded video at a constant bit rate, close to its mean encoding bit rate, and deals with the network latency and jitter issues efficiently in order to provide quick and hiccup free playback without caching an entire media file. Our scalable streaming scheme also allows many clients to share a server stream. We use prefix buffers at the proxy to cache the prefixes of popular videos, to minimize the start‐up delay and to enable near mean bit rate streaming from the server as well as from the proxy. We use smoothing buffers at the proxy not only to eliminate jitter and traffic burst effects but also to enable many clients to share the same server stream. We present simulation results to demonstrate the effectiveness of our streaming scheme.

Data mining is the process of detecting knowledge from a given huge data set. Among the data set, multimedia is the data which contains diverse data such as audio, video, image, text and motion. In this growing field of video data, mining the video data plays vital role in the field of video data mining. In video data mining, video data are grouped into frames. In this vast amount of video frames, the fast retrieval of needed information is important one. This paper aims to propose a Birch-based clustering method for content-based image retrieval.

In image retrieval system, image segmentation plays a very important role. A text file, normally, is divided into sections, that is, piece, sentences, word and character for this information which are organized and indexed effectively like in a video, the information is dynamic in nature and this information is converted to static for easy retrieval. For this, video files are divided into a number of frames or segments. After the segmentation process, images are trained for retrieval process, and from these, unwanted images are removed from the data set. The noise or unwanted image removal pseudo-code is shown below. In the code image, pixel value represents the value of the difference between the two adjacent image pixel values. By assuming a threshold for the image value, the duplicate images are found. After finding the duplicate image, it is removed from the data set. Clustering is used in many applications as a stand-alone tool to get insight into data distribution and as a pre-processing step for other algorithms (Ester et al., 1996). Specifically, it is used in pattern recognition, spatial data analysis, image processing, economic science document classification, etc. Hierarchical clustering algorithms are classified as agglomerative or divisive. BRICH uses clustering attribute (CA) and clustering feature hierarchy (CA_Hierarchy) for the formation of clusters. It perform multidimensional data objects. Every BRICH algorithm based on the memory-oriented information, that is, memory constrains, is involved in the processing of the data sets. This information is represented in Figures 6-10. For forming clusters, they use the amount of object in the cluster (A), the sum of all points in the data set (S) and need the square value of the all objects (P).

The proposed technique brings an effective result for cluster formation.

BRICH uses a novel approach to model the degree of inter-connectivity and closeness between each pair of clusters that takes into account the internal characteristics of the clusters themselves.

The Thai video game domain has witnessed substantial growth in recent years. However, many games enjoyed by Thai players are in foreign languages, with only a handful of titles translated/localized into the Thai locale. Some Thai video game enthusiasts have taken on the role of unofficial translators/localizers, contributing to a localization domain that accommodates both official and unofficial translation/localization efforts. This general review paper aims to outline the author's experiences in collecting data within the domain of video game translation/localization in Thailand.

Using a descriptive approach, this general review paper employs the netnography method. It sheds light on the complexities of video game translation/localization in Thailand and incorporates semi-structured interviews with a snowball sampling technique for the selection of participants and in-game data collection methods.

The netnography method has proved instrumental in navigating the intricacies of this evolving landscape. Adopting the netnography method for data collection in this research contributes to establishing more robust connections with the research sites. “Inside” professionals and individuals play a significant role in data gathering by recommending additional sources of information for the research.

While netnography is conventionally applied in the market and consumer research, this paper demonstrates its efficacy in unraveling the dynamics of video game translation/localization in Thailand.

As the use of electronic library resources increases, the demand for online support also multiplies. Information literacy and 24/7 customer support are some of the urgent issues related to research in an electronic environment that many libraries are trying to address today. This article describes an approach in meeting these challenges, the Let‐It‐V (Learning E‐Resources Through Instructional Technology Videos) project at the Texas A&M University Libraries. This study combines the use of screen‐captured videos and a streaming media encoder to produce topic‐specific videos for task‐oriented demands. It is visual, interactive, and seeks to provide just‐in‐time solutions at a point of need. On‐demand streaming is a viable, cost‐effective alternative for low bandwidth delivery of video‐enabled library instruction. The technologies involved, key development issues, lessons learned and their implications for distance learning are discussed.

Integrating a microcomputer with a videotape recorder (VCR) and facsimile machine produces a powerful information handling system—InfoStation. The VCR can be used to backup the data on the microcomputer's hard disk, and also can be used to archive massive amounts of information for selective retrieval and use. The VCR can function as a publication medium containing both analog and digital information that can be retrieved by a video receiver and a microcomputer; and the VCR can be used to capture digital data broadcast by a television station, for later retrieval and use on a microcomputer. The facsimile machine is a powerful device for inputting bit‐map images of documents into the microcomputer and VCR, and can be used to print and/or transmit those documents to other facsimile machines on demand.

The purpose of this paper is to provide a tutorial and survey on recent advances in multimedia networking from an integrated perspective of both video networking and building digital video libraries. The nature of video networking, coupled with various recent developments in standards, proposals and applications, poses great challenges to the research and industrial communities working in this area.

This paper presents an insightful analysis for recent and emerging multimedia applications in digital video libraries and on video coding standards and their applications in digital libraries. Emphasis is given on those standards and mechanisms that enable multimedia content adaptation fully interoperable according to the vision of Universal Multimedia Access vision.

The tutorial helps elucidate the similarities and differences among the considered standards and networking applications. A number of research trends and challenges are identified, and selected promising solutions are discussed. This practice would needle further thoughts on the development of this area and open-up more research and application opportunities.

The paper does not provide methodical studies of networking application scenarios for all the discussed video coding standards and Quality of Service (QoS) management mechanisms.

The paper provides an overview of which technologies/mechanisms are being used broadly in networking scenarios of digital video libraries. The discussed networking scenarios bring together video coding standards and various emerging wireless networking paradigms toward innovative application scenarios.

QoS mechanisms and video coding standards that support multimedia applications for digital video libraries need to become well-known by library managers and professional associations in the fields of libraries and archives. The comprehensive overview and critiques on existing standards and application approaches offer a valuable reference for researchers and system developers in related research and industrial communities.

Seeks to demonstrate how, with regard to viewing video on the internet, the delay experienced, whilst the stream is being buffered, can be virtually eradicated.

Documents a scheduled rich site summary (RSS) multimedia prototype which utilizes idle computer time (at night) to subscribe to media RSS channels in order to download audio and video content.

Finds that, a part from involving zero display, the quality of the operation is controlled only by the size of the hard disk not by the capacity of the connection.

The system documented here will serve users at either end of the RSS feed chain.