Automated Conversion of Text Instructions to Human Motion Animation

Text to animation is the conversion of textual instructions to animations following and depicting those instructions. Text to animation is important to fields such as crime scene investigation, military special operations and storytelling where text is utilized. It is also useful for physical therapy where a doctor can factor in disability parameters in the 3D models and determine the safest therapy exercises for patients. It can be used in robotics, where robot assistants can be instructed to perform tasks through text instructions. In this research, a system was created to generate 3D animation of workouts from their textual instructions. An algorithm was developed to generate animation sequences from test cases. The algorithm utilized an animation graph which was created from a training set of 100 workouts with the nodes as postures and the links as animation-clip names along with their action data. The algorithm is designed to find and generate the closest animations available. A testing set of 40 similar workouts was used to test the algorithm and obtain an output of sequence of animations which were later depicted by the Unity Game Engine. In user evaluations, for 25 of the 40 test workouts, or 62.5% of the test workouts, the animation was determined by the users, to have the same or almost the same human motions as compared to a video of a human performing the workout. Analysis of the 15 workouts that were not similar to the human video (37.5%) showed that their issues can be fixed and the animation search can be improved by training the animation graph on more varieties of the workouts and on different text instructions of the same workouts from different sources. For 64.5% of the 156 sentences of all the text workouts, the animations were determined to correctly depict the text instructions. This research provides an initial animation graph and animation library which can be expanded to include more poses and animations from other domains such as yoga or dance. In the future system has the potential to provide users with no 3D modelling/animation expertise, a way to create 3D animations with just texts

Survey of Transportation of Adaptive Multimedia Streaming service in Internet

[DE] World Wide Web is the greatest boon towards the technological advancement of modern era. Using the benefits of Internet globally, anywhere and anytime, users can avail the benefits of accessing live and on demand video services. The streaming media systems such as YouTube, Netflix, and Apple Music are reining the multimedia world with frequent popularity among users. A key concern of quality perceived for video streaming applications over Internet is the Quality of Experience (QoE) that users go through. Due to changing network conditions, bit rate and initial delay and the multimedia file freezes or provide poor video quality to the end users, researchers across industry and academia are explored HTTP Adaptive Streaming (HAS), which split the video content into multiple segments and offer the clients at varying qualities. The video player at the client side plays a vital role in buffer management and choosing the appropriate bit rate for each such segment of video to be transmitted. A higher bit rate transmitted video pauses in between whereas, a lower bit rate video lacks in quality, requiring a tradeoff between them. The need of the hour was to adaptively varying the bit rate and video quality to match the transmission media conditions. Further, The main aim of this paper is to give an overview on the state of the art HAS techniques across multimedia and networking domains. A detailed survey was conducted to analyze challenges and solutions in adaptive streaming algorithms, QoE, network protocols, buffering and etc. It also focuses on various challenges on QoE influence factors in a fluctuating network condition, which are often ignored in present HAS methodologies. Furthermore, this survey will enable network and multimedia researchers a fair amount of understanding about the latest happenings of adaptive streaming and the necessary improvements that can be incorporated in future developments.Abdullah, MTA.; Lloret, J.; Canovas Solbes, A.; García-García, L. (2017). Survey of Transportation of Adaptive Multimedia Streaming service in Internet. Network Protocols and Algorithms. 9(1-2):85-125. doi:10.5296/npa.v9i1-2.12412S8512591-

Modelo programable para la serialización y evaluación de modelos heterogéneos en clientes web

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Ingeniería Informática. Fecha de lectura : 6-07-201