Add to Watchlist

Automatic detection of artifacts in converted S3D video


Citation of segment
Embed Code
Purchasing a DVD Cite video

For this video, there are no automatic analysis results.

Analysis results are only provided—where legally permissible—for videos from the realms of technology/engineering, architecture, chemistry, information technology, mathematics, and physics.


Formal Metadata

Title Automatic detection of artifacts in converted S3D video
Title of Series Stereoscopic Displays and Applications XXV (SD&A 2014)
Part Number 19
Number of Parts 29
Author Bokov, Alexander
Vatolin, Dmitriy
Zachesov, Anton
Belous, Alexander
Erofeev, Mikhail
License CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
DOI 10.5446/32357
Publisher IS&T Electronic Imaging (EI) Symposium
Release Date 2014
Language English

Content Metadata

Subject Area Information technology
Abstract In this paper we present algorithms for automatically detecting issues specific to converted S3D content. When a depth-image-based rendering approach produces a stereoscopic image, the quality of the result depends on both the depth maps and the warping algorithms. The most common problem with converted S3D video is edge-sharpness mismatch. This artifact may appear owing to depth-map blurriness at semitransparent edges: after warping, the object boundary becomes sharper in one view and blurrier in the other, yielding binocular rivalry. To detect this problem we estimate the disparity map, extract boundaries with noticeable differences, and analyze edge-sharpness correspondence between views. We pay additional attention to cases involving a complex background and large occlusions. Another problem is detection of scenes that lack depth volume: we present algorithms for detecting at scenes and scenes with at foreground objects. To identify these problems we analyze the features of the RGB image as well as uniform areas in the depth map. Testing of our algorithms involved examining 10 Blu-ray 3D releases with converted S3D content, including Clash of the Titans, The Avengers, and The Chronicles of Narnia: The Voyage of the Dawn Treader. The algorithms we present enable improved automatic quality assessment during the production stage. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Related Material


AV-Portal 3.5.0 (cb7a58240982536f976b3fae0db2d7d34ae7e46b)


  395 ms - page object