Sintel

Roosendaal, Ton

doi:10.1145/2019001.2019066

Cited by 15 publications

(4 citation statements)

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“…Butler et al [5] has attempted to create a synthetic data set that resembles nature using the animated movie Sintel [19] for optical flow benchmarking. Their data set includes significant elements that are typically present in real-world video recordings, such as lengthy sequences, vigorous motions, specular reflections, motion blur, defocus blur, and atmospheric effects.…”

Section: Literature Surveymentioning

confidence: 99%

An investigation of camera movements and capture techniques on optical flow for real-time rendering and presentation

Modi

Ramakrishna

2023

J Real-Time Image Proc

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New and interesting uses for portable devices include the creation and viewing of 3D models and 360-degree photos of real landscapes. To provide a 3D model and a 360-degree view of a scenario, these apps search for real-time rendering and presentation. This study examines the impact of real-time image processing on movements in camera view and the application of optical flow algorithms. The optical flows are affected by how the objects involved motion. The way the image is recorded and the camera movements affect the relative motion. As a consequence, camera motions are responsive to optical flow algorithms. To record an image, the camera may pan around, move in a straight path, or move randomly. We have captured datasets of videos produced in different contexts to better replicate real-world scenarios. Each dataset was captured in a variety of illumination situations, camera movements, and indoor and outdoor recording sites. Here, to determine the most effective optical flow algorithms for use in near real-time applications, such as augmented reality and virtual reality, we compare results based on quality and processing delay for each video frame. We conducted a comparison study to better understand how random camera motion affects real-time video processing. These methods can be used to handle a variety of real-world issues, such as object tracking, video segmentation, structure from motion, gesture tracking, and so on.

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Section: Literature Surveymentioning

confidence: 99%

An investigation of camera movements and capture techniques on optical flow for real-time rendering and presentation

Modi

Ramakrishna

2023

J Real-Time Image Proc

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“…In our experiments throughout the paper, the video transmitted is a 40 seconds length movie trailer, which is a standard video provided by Durian Open Movie project named as "Sintel" [10]. Each test of experimental operation takes around 2 minutes.…”

Section: Testbed Description and Data Collectionmentioning

confidence: 99%

Video Quality Prediction over Wireless 4G

Lau

Zhang

Shihada

2013

Advances in Knowledge Discovery and Data Mining

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Abstract. In this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors.

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“…2) Video Characteristics: The broadcast video is a movie trailer of 'Sintel' developed by Durian Open Movie Project with standard definition resolution (480p), encoded in H.264/SVC format by JSVM 9.18 [9], [10]. It consists of 2 scalable layers in quality scalability, base layer with Quantization Parameters (QP) 35, and enhancement layer with QP 25.…”

Section: ) Average Symbol Energy In Scmmentioning

confidence: 99%