Time-shifted TV Research Articles

검색량 인덱스를 활용한 연속 드라마 수명주기 모형

The increased time-shifted TV viewing practice undermines the role of traditional viewer ratings in gauging consumer interests in primetime TV drama. This paper introduces Google Trends data as a supplementary measure of popularity and proposes a lifecycle model for describing the pattern of search activity related to the TV drama shows. This is accomplished by developing three separate models that deal with three different phases (i.e., prerelease period, on-season period, and post-season period) that a TV drama series goes through. In our empirical analysis, we demonstrate that the proposed model provides an apt description of the diffusion pattern of consumer search activity related to a primetime TV drama series. We also show that the search volume cumulated during the pre-season period has the predictive power to expect the level of consumer interest in the upcoming season premiere. Furthermore, we find that the release of following seasons of a drama series accompanies the search for its previous seasons due to reciprocal spillover effects. Our findings indicate the importance of monitoring online search activity of consumers in the TV drama industry.

Audiencia en diferido de debates electorales: una excepción del género informativo

The possibility of watching time-shifted TV shows has transformed the measurement of audiences. This why since 2015 the visualizations of programs have been recorded from the first minute of their broadcast up to seven days later. In this research, we analyze the characteristics and evolution of the debates time-shifted audience of the Spanish and European elections of 2019 and we will compare them with those of other informative tv shows and with the fiction and entertainment genres. According to methodology, we use audience data collected with Infosys software during the last two months of both election periods and we also interview experts. Results show that, in relative aspects, the time-shifted audience of debates only increased by 2.90%, but in absolute terms, the increase was greater than other genres during the analyzed period because they are events of great interest where the conflict and confrontation made them lead also on traditional linear television. Therefore, we conclude that the debates time-shifted audience is an exception in informative tv shows, which usually are ranked in the last place compared to other genres. In addition, we observe a progressive erosion of the number of viewers and their distribution in the seven days after the broadcast, due to proximity of the Spanish and European elections. We also detect a predominance of the vosdal audience (viewing on same day as live), which is explained by the important relation between debates and current affairs.

Peer-Assisted Content Delivery to Reduce the Bandwidth of TSTV Service in IPTV System

With great technologies, emerge new needs and requirements. The progress achieved in Access broadband rates accentuated the demand on IPTV (Internet Protocol Television) services specially Video on Demand (VOD) and Time Shift TV (TSTV) which led subsequently to a great need for efficiency in the use of bandwidth consumed by those services. Optimization solutions are considered by IPTV service providers to lighten the service load especially on Access Nodes uplinks. This paper describes an optimization of TSTV dedicated bandwidth based on a peer-assisting TSTV content delivery, a solution in which the users STBs (set-top-boxes) assist the central TSTV servers in the service fulfillment. For this purpose, for each TSTV request, the STB will be receiving the TSTV stream from a neighbor STB instead of the central server. By using this method, the unicast traffic will not pass through the IP network; it will be a peer-to-peer communication within the access network. Extensive simulation results were included to illustrate the validity of the proposed new solution.

Dynamics between social media engagement, firm-generated content, and live and time-shifted TV viewing

PurposeThe purpose of this paper is to study consumer engagement as a dynamic, iterative process in the context of TV shows. A theoretical framework involving the central constructs of brand actions, customer engagement behaviors (CEBs), and consumption is proposed. Brand actions of TV shows include advertising and firm-generated content (FGC) on social media. CEBs include volume, sentiment, and richness of user-generated content (UGC) on social media. Consumption comprises live and time-shifted TV viewing.Design/methodology/approachThe authors study 31 new TV shows introduced in 2015. Consistent with the ecosystem framework, a simultaneous system of equations approach is adopted to analyze data from a US Cable TV provider, Kantar Media, and Twitter.FindingsThe findings show that advertising efforts initiated by the TV show have a positive effect on time-shifted viewing, but a negative effect on live viewing; tweets posted by the TV show (FGC) have a negative effect on time-shifted viewing, but no effect on live viewing; and negative sentiment from tweets posted by viewers (UGC) reduces time-shifted viewing, but increases live viewing.Originality/valueContent creators and TV networks are faced with the daunting challenge of retaining their audiences in a media-fragmented world. Whereas most studies on engagement have focused on static firm-customer relationships, this study examines engagement from a dynamic, multi-agent perspective by studying interrelationships among brand actions, CEBs, and consumption over time. Accordingly, this study can help brands to quantify the effectiveness of their engagement efforts in terms of encouraging CEBs and eliciting specific TV consumption behaviors.

The Impact of Time-Shift TV on TV Viewership and on Ad Consumption: Results from Both Natural and Randomized Experiments

We partner with a major telecommunications provider to study the effect of Time-Shift TV (TSTV) on TV consumption. TSTV automatically records in the cloud programs that were broadcasted live for the past few days and thus allows users to watch the programs they want when they want. In 2012, our industrial partner deployed TSTV to half the TV channels it offered to premium consumers. Using difference-in-differences with Inverse Probability of Treatment Weighting we find that, on average, the introduction of TSTV increased the consumption of daily TV by 11 minutes (p

Prime-Time Any Time: The Effect of Time-Shifted TV on Media Consumption

We work with a large telecommunication provider that started offering a new time-shift service to their clients. We characterize some of the changes that time-shifted television is triggering on television consumption patterns and discuss the implications for consumers and the industry stake holders alike. We find evidence consistent with the super-star effect in which the most popular contents become even more popular at the expense of the less popular contents. This suggests that being able to watch any content at any time increases the overall viewership of prime-time content in detriment of other content, skewing the content viewership distribution. Looking at consumer subscriptions, we find evidence that time-shift TV increased the rate at which new consumers join the telecommunication provider, at the same time it also increased the rate at which consumers subscribing bundles that not capable of time shifting, decided to upgrade their service.

Hardware acceleration of an RTP Proxy Server

More and more TVoIP services are emerging on the market using RTP to compensate for the dynamic routing. Interactive applications, however, still suffer from the network's long latency. Offloading to the access network offers a solution. In this paper we present an optimized hardware architecture for a proxy handling RTP packets delivering an acceleration ratio of over 440. The architecture has built-in support for Video-on-Demand, Time-Shifted TV and Fast Channel Change services, and has been successfully tested on a custom FPGA board.

Efficient cache placement scheme for clustered time-shifted TV servers

A cost-effective approach for enhancing availability of clustered system is to cache popular data across the memories of servers so as to alleviate disk I/O bandwidth bottleneck. The cache placement problem is complicated for the fact that video popularity changes over time. Moreover, as a new multimedia streaming service, time-shifted TV introduces new challenges to the problem. In this article, we investigate the crucial problem of the clustered time-shifted TV system. We formulate it as a multi-objective optimization problem based on the time-based popularity model. We propose a classification replication algorithm and a novel cache placement algorithm, named as cost-aware least load proportion first (CALLF). The algorithms focus on the time-varying nature of time-shifted TV, and explore previous stored information to reduce the cost of redeploying. We also present a dual-threshold reconfigure scheme to further balance the load of servers dynamically. Simulation reveals that the proposed algorithms are efficient on improving the performance of time-shifted TV system in terms of total outgoing bandwidth requirement.

Increasing the user perceived quality for IPTV services

Currently, digital television is gradually replacing analogue TV. Although these digital TV services can be delivered via various broadcast networks (e.g., terrestrial, cable, satellite), Internet Protocol TV over broadband telecommunication networks offers much more than traditional broadcast TV. Not only can it improve the quality that users experience with this linear programming TV service, but it also paves the way for new TV services, such as video-on- demand, time-shifted TV, and network personal video recorder services, because of its integral return channel and the ability to address individual users. This article first provides an overview of a typical IPTV network architecture and some basic video coding concepts. Based on these, we then explain how IPTV can increase the linear programming TV quality experienced by end users by reducing channel-change latency and mitigating packet loss. For the latter, forward error correction and automatic repeat request techniques are discussed, whereas for the former a solution based on a circular buffer strategy is described. This article further argues that the availability of larger buffers in the network enables IPTV to better offer new services (in particular, time-shifted TV, network personal video recorder, and video-on-demand) than the competing platforms.

Piecewise Patching for Time-shifted TV Over HFC Networks

In video-on-demand (VOD) systems, a number of sophisticated architectures have been proposed to provide instantaneous services through the use of multicast technology. Most of the architectures focus on minimizing bandwidth requirements under the assumption that clients play from beginning to end, but this assumption is not suitable for time-shifted TV. Moreover, they have been proposed on an IP network, and failed to make full use of the broadcasting property of hybrid fiber coaxial (HFC) network. In this paper, we propose a novel delivery scheme, named as piecewise patching (PP), to tackle these problems. The piecewise patching scheme provides the video data for the users in a piecewise mode instead of a whole patching stream which includes all missing data. The former user can utilize the data from the later users' patching stream whose playback time is in advance of the former user's patching stream. In the proposed scheme, each client receives the data simultaneously from arbitrary channels which broadcast the same content. Simulation results show that the proposed scheme improves the performance of time-shift TV service significantly in terms of total server bandwidth requirement.