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The first purpose of this paper is to propose a scalable video coding scheme providing flexibility in video transmission, especially under wireless environment. The second purpose is to analyze the problem of lengthening the key frame interval in distributed video coding (DVC), and propose an approach to improve the rate‐distortion (RD) performance of DVC for long group‐of‐frames (GOF) size.

In the proposed scheme, a base layer is first obtained from an H.264 coder. When a DVC coder is then used to code the enhancement layer, information in processing the base layer is extracted and analyzed to make multiple side‐information available and reduce error accumulation for DVC coding, thus further improving the performance of the DVC coder.

By dividing video into base and enhancement layers, the combined video coding architecture enables a flexible video transmission. In addition, several methods are used to improve the RD performance in DVC coding. Simulation shows that the proposed scheme outperforms non‐scalable DVC for long GOF size.

Prediction from the decoding loop in base layer encoder largely reduces enhancement layer spatial redundancy. Multiple side‐information provides better estimation for DVC reconstruction. Long prediction loop is more reliable because error accumulation is effectively compensated.

The interdisciplinary 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. The main purpose of this paper is to provide a tutorial and survey on recent advances in video networking from an integrated perspective of both video signal processing and networking.

Detailed technical descriptions and insightful analysis are presented for recent and emerging video coding standards, in particular the H.264 family. The applications of selected video coding standards in emerging wireless networks are then introduced with an emphasis on scalable video streaming in multihomed mobile networks. Both research challenges and potential solutions are discussed along the description, and numerical results through simulations or experiments are provided to reveal the performances of selected coding standards and networking algorithms.

The tutorial helps to clarify 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 provoke further thoughts on the development of this area and open up more research and application opportunities.

Not all the concerned video coding standards are complemented with thorough studies of networking application scenarios.

The discussed video coding standards are either playing or going to play indispensable roles in the video industry; the introduced networking scenarios bring together these standards and various emerging wireless networking paradigms towards innovative application scenarios.

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.

High-efficiency video coding (HEVC) is the latest video coding standard that has better coding efficiency than the H.264/advanced video coding (AVC) standard. The purpose of this paper is to design and develop an effective block search mechanism for the video compression-HEVC standard such that the developed compression standard is applied for the communication applications.

In the proposed method, an rate-distortion (RD) trade-off, named regressive RD trade-off is used based on the conditional autoregressive value at risk (CaViar) model. The motion estimation (ME) is based on the new block search mechanism, which is developed with the modification in the Ordered Tree-based Hex-Octagon (OrTHO)-search algorithm along with the chronological Salp swarm algorithm (SSA) based on deep recurrent neural network (deepRNN) for optimally deciding the shape of search, search length of the tree and dimension. The chronological SSA is developed by integrating the chronological concept in SSA, which is used for training the deep RNN for ME.

The competing methods used for the comparative analysis of the proposed OrTHO-search based RD + chronological-salp swarm algorithm (RD + C-SSA) based deep RNN are support vector machine (SVM), fast encoding framework, wavefront-based high parallel (WHP) and OrTHO-search based RD method. The proposed video compression method obtained a maximum peak signal-to-noise ratio (PSNR) of 42.9180 dB and a maximum structural similarity index measure (SSIM) of 0.9827.

In this research, an effective block search mechanism was developed with the modification in the OrTHO-search algorithm along with the chronological SSA based on deepRNN for the video compression-HEVC standard.

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.

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.

This chapter describes a new video-coding tool, Edthena, and how two teacher preparation programs adopted and implemented this technology. We present our successes and our missteps to help other teacher preparation programs learn from our experiences.

Multiple stakeholders were involved in the implementation of Edthena: teacher candidates, cooperating teachers, university supervisors, and university course instructors. Each of the authors of this chapter fills at least one of these roles. Each author reflected on his or her use of this tool, and we collaboratively analyzed our reflections to ascertain successes and lessons learned in the implementation of a new tool.

We found that Edthena provided many enhancements to traditional teacher candidate field experiences and internships, most notably more consistent and richer reflection on and communication about instruction.

When implementing a new technological tool, teacher educators need to be very strategic and intentional in introducing the tool. All stakeholders need to know the benefits of using a new tool and also require clear guidelines for its use to reduce the natural tendency of resisting change.

With the advent of technology, a huge amount of data is being transmitted and received through the internet. Large bandwidth and storage are required for the exchange of data and storage, respectively. Hence, compression of the data which is to be transmitted over the channel is unavoidable. The main purpose of the proposed system is to use the bandwidth effectively. The videos are compressed at the transmitter’s end and reconstructed at the receiver’s end. Compression techniques even help for smaller storage requirements.

The paper proposes a novel compression technique for three-dimensional (3D) videos using a zig-zag 3D discrete cosine transform. The method operates a 3D discrete cosine transform on the videos, followed by a zig-zag scanning process. Finally, to convert the data into a single bit stream for transmission, a run-length encoding technique is used. The videos are reconstructed by using the inverse 3D discrete cosine transform, inverse zig-zag scanning (quantization) and inverse run length coding techniques. The proposed method is simple and reduces the complexity of the convolutional techniques.

Coding reduction, code word reduction, peak signal to noise ratio (PSNR), mean square error, compression percent and compression ratio values are calculated, and the dominance of the proposed method over the convolutional methods is seen.

With zig-zag quantization and run length encoding using 3D discrete cosine transform for 3D video compression, gives compression up to 90% with a PSNR of 41.98 dB. The proposed method can be used in multimedia applications where bandwidth, storage and data expenses are the major issues.

This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.

This study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.

Empirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.

The findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.

From a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.

The purpose of this paper is to investigate the use of television (TV) content for scholarly purposes. It focuses on: profile of scholars using TV content; the structure of their need for TV content; the situations in which scholars need TV content; and their patterns of use of TV content in each research stage.

Taylor’s four components of the information use environment has contributed to the development of a conceptual framework. The data from the use of TV content by 668 scholars were profiled using correspondence analysis and co-word analysis. Additionally, the data from 15 interviews and content from 240 journal articles were analysed.

The authors determined that the environment of the scholarly use of TV content is unique in terms of the scholars’ academic domains, research topics, motivation, and patterns of use. Six academic domains were identified as having used TV content to a meaningful degree, and their knowledge structure was presented as a map depicting the scholars’ needs for TV content. Scholars are likely to use TV content when they deal with timely social and cultural topics, or human behaviour. The scholars also showed different patterns of use of TV content at each stage of research.

In this study, TV content was newly examined from the perspective of an information source for scholarly purposes, and it was found to be a meaningful source in several domains. This result extends the knowledge of information sources in scholarly communication and information services.

The purpose of this paper is to report on how researchers at Penn State University used video screen capture technology to learn more about student usage of the library's databases.

The process of identifying and implementing a novel way to capture and analyze the human‐computer interaction is outlined and discussed.

Because of the drawbacks associated with both formal, direct physical observation of research participants and videotaping participants, video screen capture technology is chosen as a better way to track human‐computer interaction.

Video screen capture technology is an inexpensive, user‐friendly way to enhance electronic resource usability studies in any library. Research files can be easily exported into coding software for data analysis.

The paper examines a new, non‐invasive way to capture student research behavior. It shows how any library could use this same technology to conduct research on how their resources are being used by their user population.