#hbbtv

[lordfederico]

[gazetemkocaeli]

HbbTV Symposium & Awards 2025, Tvekstra Eş Ev Sahipliğinde İstanbul'da Gerçekleşecek

Dünyanın en prestijli hibrit yayıncılık etkinliği HbbTV Symposium & Awards, Tvekstra'nın eş ev sahipliğinde 12-13 Kasım 2025 tarihlerinde İstanbul'da düzenleniyor. ETKİNLİK DETAYLARI HbbTV Symposium & Awards, hibrit yayıncılık teknolojilerinin en önemli etkinliklerinden biri olarak, bu yıl 12-13 Kasım 2025 tarihlerinde İstanbul’da gerçekleştirilecek. Tvekstra, etkinliğin eş ev sahibi olarak yer…

HbbTV Symposium & Awards 2025, Tvekstra Eş Ev Sahipliğinde İstanbul'da Gerçekleşecek

[techniktagebuch]

Anfang August 2025

Alles wird schlechter! Anderer Meinung: Meine Mutter

Morgens macht meine Mutter vor dem Fernseher Gymnastik. Abends will sie die Tagesschau sehen. In beiden Fällen verpasst sie meistens den Anfang, aber weil sie es deshalb oft übt, weiß sie, welche Knöpfe auf der Fernbedienung in welcher Reihenfolge zu drücken sind, um die Sendung neu zu starten. Ich werde oft dazugerufen, wenn etwas klemmt, kann aber nur danebenstehen und beruhigende Geräusche machen, weil ich von Fernsehern allgemein und diesem Fernseher speziell keine Ahnung habe.

In letzter Zeit ist ein neues Problem dazugekommen: Bei irgendeiner Frage muss "Akzeptieren" oder "Ablehnen" ausgewählt werden, bevor es weitergeht. Die Mutter ist der Meinung, es gehe um was mit Reichweitenmessung. Ist aber egal, weil man es mit der Fernbedienung sowieso weder bestätigen noch ablehnen kann. Die Frage kommt jeden Tag wieder, wenn die Mutter versucht, eine Sendung neu zu starten.

"Alles wird schlechter!", sage ich, "früher konnte man den Fernseher nur einschalten und ausschalten, das ging zuverlässig immer!"

Meine Mutter widerspricht: Das mit dem Neustarten von Sendungen, das sei schon viel besser als früher. Darauf möchte sie nicht verzichten.

Leider wird genau das bei Reddit als Lösung für das offenbar verbreitete Problem genannt. Die Frage des Fernsehers scheint von Cookies zu handeln, und das Problem tritt vielleicht nur bei Fernsehern von LG auf. Man soll HbbTV, also die Internetfunktionen des Fernsehers, einfach abschalten, sagen die Leute bei Reddit. Dann kommt die lästige Frage nicht mehr. Man kann dann aber auch nicht mehr zurück an den Anfang von Sendungen springen.

Weit unten in der langen Reddit-Diskussion hat jemand eine andere Lösung: Man soll sich ein Pi-hole zulegen. Und ich habe letztes Jahr in diesem Haushalt ein Pi-hole eingerichtet!

Ich sehe in der Admin-Übersicht des Pi-hole nach, womit sich der Fernseher verbinden wollte: Sehr, sehr oft mit Netflix (wird in diesem Haushalt nie benutzt) und ein paarmal mit "itv.ard.de". Ich verbiete dem Fernseher, mit dieser Adresse zu reden. Ob das helfen wird, weiß ich zum Aufschreibezeitpunkt noch nicht, denn ich kann die Problemfrage nicht absichtlich herbeilocken zum Testen. Ich bin aber schon jetzt sehr zufrieden damit, dass ich mich nicht einfach mit dem Schlechterwerden von allem abfinden muss.

Update einige Tage später: Es scheint geholfen zu haben, die unbeantwortbare Frage ist seitdem nicht mehr aufgetaucht.

Update einige Monate später: Die unbeantwortbare Frage nervt trotz meiner Interventionen weiter, aber das Neustarten von Sendungen funktioniert meistens. Mit etwas Geduld.

(Kathrin Passig)

[admongrel]

Enhancing TV Viewership Prediction with Advanced Machine Learning Techniques using Recurrent Neural Networks (RNN)

Introduction

Accurately predicting TV viewership is vital for TV networks to make informed decisions about programming and advertising. This blog post explores a partnership between Admongrel with University College London, focusing on the accuracy of Recurrent Neural Network (RNN) models in predicting prime-time viewership. By optimising hyperparameters, selecting relevant features, and using different model designs, the goal is to improve the accuracy of viewership predictions. Model Design The models used in this project predict future TV viewership by analysing historical data. They consider a sequence of past time windows, extracting features and using them to forecast viewership for future time windows. The models compare their predictions to the actual viewership data during training, continuously improving their accuracy. There is a delay before the models can generate predictions, and the input and output arrays determine the amount of data used and the length of the future time window. The project explores four different types of models: LSTM, GRU, CNN-LSTM, and CNN-GRU. Figure 1 shows a summary of the overall model design.

Figure 1: Overall Model Design

Results

Based on the evaluation metric known as Root Mean Square Error (RMSE), the LSTM model with proper feature selection performed the best. LSTM's strength lies in capturing complex relationships and long-term dependencies within the data. The predictions made by LSTM models showed a good alignment with actual viewership for shorter prediction horizons (5 minutes or less), resulting in lower RMSE values. However, for longer prediction horizons (10 minutes or more), there were significant deviations leading to increased RMSE. Accurate viewership predictions, particularly at a minute-by-minute level, are crucial for making informed decisions in TV networks. The best-performing LSTM model utilized all features except for "Day of week" and achieved an RMSE of 5010 with a prediction time of 0.788 seconds. These optimal parameters were determined through careful experimentation and hyperparameter tuning, leading to the highest predictive accuracy. Figure 2 shows a visualisation between actual and predicted viewership values of the best-performing model.

Figure 2: Visualisation between actual and predicted viewership of the best-performing model

Challenges

From Figure 2, the models faced challenges when accurately predicting viewership during sudden drops followed by rapid recoveries within a minute. These anomalies were difficult to anticipate based solely on historical patterns, as other numerical features lacked similar declines. To overcome these abrupt changes, it is recommended to incorporate additional contextual data. TV networks should exercise caution and evaluate if these fluctuations are anomalies before making immediate decisions. Despite these challenges, the models still demonstrated low RMSE, highlighting their robustness and reliability. Interpretation of predictions

Interpretation of predictions

Figure 3: SHAP feature importance of the best-performing model

SHAP feature importance is a measure used to determine the influence of different features on predictions made by the models. From Figure 3, predictions from the best-performing model showed that higher values of features like Viewership, Tunein, and Rating, along with lower values of Tuneout and Share, have positive SHAP values. This indicates their positive impact on viewership predictions. Notably, Viewership has the highest impact, overshadowing other features. Also, low viewership values have a stronger negative impact on predictions. The SHAP values for other features are clustered around 0, suggesting a smaller impact on viewership predictions.

Conclusion

The partnership between Admongrel and the TV network has provided valuable insights into enhancing TV viewership prediction using advanced machine learning techniques. By leveraging Recurrent Neural Networks, specifically LSTM models, the developed forecasting algorithm benefits both TV networks and advertisers. Although challenges exist in predicting sudden drops and recoveries, the models demonstrate robustness and achieve low RMSE, indicating their practical viability. Incorporating additional contextual data is recommended to handle such events. This research contributes to automating and improving the accuracy of TV viewership prediction, empowering the industry with AI and big data analytics.

Keywords: TV viewership prediction, Recurrent Neural Networks, LSTM, GRU, CNN-LSTM, CNN-GRU, feature selection, Root Mean Square Error (RMSE), machine learning, AI, big data.

[admongrel]

Turkey's KON TV Chooses Admongrel for Real-Time-Analytics Service

[lescroniques]

Realmadrid TV activa el servei de llengua de signes mitjançant la tecnologia HbbTV

mundoplus.tv La televisió del club madridista ha habilitat el servei de llengua de signes en alguns dels programes que formen part de la seva programació, com “Reial Madrid Connecta”. Això permet que les persones sordes o amb dificultats auditives puguin gaudir dels programes amb un intèrpret de llengua de signes situat en la part inferior dreta de la imatge, igual que ho apliquen altres…

View On WordPress

[admongrel]

FAST & Other Platforms: Admongrel Launches ‘Yacht Influencer’ across Europe & North  America

Region: Global June 2023

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Yacht InfluencerTV Partners with Admongrel for Global Distribution Strategy

(London/June23) Yacht InfluencerTV, the premier channel dedicated to showcasing the allure of yachts, electric cars, and motorcycles, has chosen Admongrel as its strategic partner for global distribution, including FAST (Free Ad-Supported Television) platforms.

Yacht InfluencerTV is set to revolutionise the television landscape by delivering captivating content through smart TV and smartphone apps, broadcasting worldwide 24 hours a day. The channel features a dynamic linear programming schedule and offers an extensive library of video-on-demand (VoD) content, providing viewers with an unparalleled entertainment experience.

With a strong commitment to promoting a greener and more sustainable yachting lifestyle, Yacht InfluencerTV highlights the industry's latest innovations. From cutting-edge electric engines and futuristic toys to the ingenious use of recycled materials in interior design, the channel showcases the advancements that are shaping the future of yachting.

Initially launching on AndroidTV and mobile platforms, Yacht InfluencerTV will soon expand its reach across additional popular streaming platforms. In the coming weeks, viewers can look forward to accessing the channel on ROKU, RlaxxTV, and UK Freeview, ensuring a wide audience can enjoy its captivating content.

Atila Madakbas, CEO of Admongrel, emphasised the importance of strategic distribution for channel success: "To thrive in the competitive landscape, it is crucial for a channel to be distributed across the right platforms. With a plethora of options available, we carefully select the most effective platforms that generate revenue for channels. For brands that have already established themselves, we recommend self-branded channels. The barriers to entry are decreasing rapidly, making it entirely feasible for even small brands to achieve remarkable success."

Yacht InfluencerTV's partnership with Admongrel marks an exciting milestone in its mission to redefine television entertainment, as it showcases the splendour of yachts, electric cars, and motorcycles. With Admongrel's expertise in global distribution, the channel is poised to captivate audiences worldwide, while promoting sustainable lifestyles and driving innovation in the yachting industry. 

Admongrel is a Connected TV company based in London and Istanbul and delivers innovative Connected TV and advertising services to over 200 TV channels. Its daily reach is in excess of 14 million unique households.

For more information please contact [email protected]  

[tilos-tagebuch]

ARD: Audiothek kommt über HbbTV auf Smart-TVs

Die ARD Audiothek wird auf Smart-Fernsehern verfügbar. Aufgerufen wird sie nicht als App, sonder über HbbTV.

Nicht als App, sondern über HbbTV (der rote Knopf auf der FB) Das funktioniert laut ARD im Programm von Das Erste sowie in allen dritten Programmen der ARD. Auch über ARD alpha, ONE, tagesschau24 und den Radiosendern, die über HbbTV zur Verfügung stehen, führt der Knopfdruck zur Audiothek der öffentlich-rechtlichen Rundfunkanstalt.