Global ETD Search

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Showing 1 to 20 of 1281 for “"videos"”.

  1. Meditative videos

    … a wide audience through broadcasting and home videos. Its photographic ability allows us to directly record and celebrate our natural environment. As video is an experience in time, it can create quiet soothing sounds and slow subtle movements. It allows us time to "tune in" to the rhythm of …

    mit Repository record for Meditative videos (opens in a new tab)

  2. Robot learning from videos

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Robot learning from videos (opens in a new tab)

  3. Robot learning from videos

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Robot learning from videos (opens in a new tab)

  4. On learning from videos/

    … To tackle these problems, we try to learn from videos and extract useful information for the robot. To reduce the amounts of data we need to process, we generate a mask for the video and observe only the region of interest. Inspired by the idea that spatio-temporal interest point (STIP) detector …

    mit Repository record for On learning from videos/ (opens in a new tab)

  5. SIGN LANGUAGE TRANSLATION FROM VIDEOS

    gmu

  6. Evaluating Temporal Queries over Videos

    Videos have been an important part of people's daily lives and are continuously growing in terms of volume, size, and variety of content. Recent advances in Computer Vision (CV) algorithms have improved accuracy and efficiency, making video annotations possible with high accuracy. In this work, we …

    york Repository record for Evaluating Temporal Queries over Videos (opens in a new tab)

  7. Multimodal Indexing of Presentation Videos

    … increasing amount and variety of presentation videos such as those in e-learning, conference recordings, corporate talks, and student presentations. We demonstrate a system to summarize, index and cross-reference such videos, and measure the quality of the produced indexes as perceived by the …

    columbia-diss Repository record for Multimodal Indexing of Presentation Videos (opens in a new tab)

  8. Depth map recovery from videos

    The depth map of a video is a very important piece of information. Recovering the depth map of a video expands a 2D video into its 3rd dimension, and creates new possibilities, such as, object insertion, conversion to 3D, shallow depth of field simulation. In this work, we introduce our approach of …

    uiuc Repository record for Depth map recovery from videos (opens in a new tab)

  9. Lifecycle of viral YouTube videos

    … first site visited when looking for songs, music videos, TV shows, or just general entertainment. Along with the sharing potential provided by social media like Twitter, Facebook, Tumblr, and more, YouTube videos have the potential to spread like wildfire. A term that has been coined to describe …

    mit Repository record for Lifecycle of viral YouTube videos (opens in a new tab)

  10. Intelligent segmentation of lecture videos

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.

    mit Repository record for Intelligent segmentation of lecture videos (opens in a new tab)

  11. Multimodal metaphors in educational animated videos /

    … concepts, one of which is the use of animated videos that focus on teaching viewers about those concepts. Studies find that animation stimulates interest in learning and benefits students with autism spectrum disorder. Metaphor is one of the components of these videos that helps portray novel …

    vilnius Repository record for Multimodal metaphors in educational animated videos / (opens in a new tab)

  12. An efficient neural representation for videos

    With the increasing popularity of videos, it has become crucial to find efficient and compact ways to represent them for easier storage, transmission, and downstream video tasks. Our dissertation proposes an innovative neural representation for videos called NeRV, which stores each video implicitly …

    maryland Repository record for An efficient neural representation for videos (opens in a new tab)

  13. Learning Activities From Human Demonstration Videos

    … and learn activities from human demonstration videos. We specifically focus on using first-person and close up videos for learning new activities, rather than traditional third-person videos that have static and global fields of view. Since the specific objective of these studies is to build …

    iu Repository record for Learning Activities From Human Demonstration Videos (opens in a new tab)

  14. Pedestrian detection in low-resolution videos

    … of detecting pedestrians in low-resolution videos taken by stationary cameras and cameras mounted on aerial platforms. The target pedestrians are as small as 20 pixels in height. Pedestrian detection is a key problem in computer vision, and has several applications such as search and rescue, …

    colo-mines Repository record for Pedestrian detection in low-resolution videos (opens in a new tab)

  15. Grounded semantic parsing using captioned videos

    … is trained in a grounded setting using pairs of videos captioned with sentences. This setting is both data-efficient requiring little annotation and far more similar to the experience of children where they observe their environment and listen to speakers. The semantic parser recovers the meaning …

    mit Repository record for Grounded semantic parsing using captioned videos (opens in a new tab)

  16. Inferring Structured World Models from Videos

    Advances in reinforcement learning have allowed agents to learn a variety of board games and video games at superhuman levels. Unlike humans - which can generalize to a wide range of tasks with very little experience - these algorithms typically need vast number of experience replays to perform at …

    mit Repository record for Inferring Structured World Models from Videos (opens in a new tab)

  17. Language-Guided 4D Object Reconstruction from Videos

    … framework that converts object-centric monocular videos into 4D representations. The two primary challenges we aim to tackle are: 1) key object extraction from the video, and 2) dynamic object capture and representation. For the first challenge, Referring Video Object Segmentation (RVOS) is …

    ottawa-retro Repository record for Language-Guided 4D Object Reconstruction from Videos (opens in a new tab)

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