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Video primer: HDR, 3D processing challenges

Posted: 05 Jul 2011 ?? ?Print Version ?Bookmark and Share

Keywords:video processing? 3D? video systems?

While 3D video provides more realistic visual experience to viewers, this enhancement comes at a price, which ranges from minor fatigue to severe headaches when watching the video. Many scientists and researchers are currently working on this problem, and solutions that eliminate or reduce this discomfort will soon be available.

Searching for video content
The technology of video content search allows viewers to identify segments of interest within a video. Typically, good video search engines consist of two major modules, namely video content analysis (VCA) and query optimization.

In this report
??HDR, 3D challenges
??Compressing HDR, 3D videos
??HDR, 3D video display
??Searching for video content

VCA refers to the ability to automatically identify objects and events in videos. One key component of VCA is concept detection, essentially a classification task to predict the presence of certain concepts in various portions of the video. Here, video shots or key frames are annotated automatically with regards to semantic concepts. These include objects and scenes, serving as good intermediate features for video content indexing and understanding. While the overall accuracy for concept detection remains somewhat unsatisfactory, significant breakthroughs have been made in the detection of several concepts including faces and prominent landmarks. Notably, these methods of concept detection are only effective in modeling a limited set of concepts, and as such, future directions to supplement these include the design of universal concept detectors that are able to recognize situations despite the absence of prior exemplars.

The other module, termed "query optimization," aims to understand the search intent of users out of textual or multimedia queries. To satisfy user intent, multiple query plans are examined until an appropriate one is identified. The multitude of ways of identifying suitable query plans makes it impossible to champion an absolute best strategy. In fact, consideration has to be given to the tradeoffs pertaining to the amount of time devising the best plan and the amount of time required to run the plan itself. Despite the plethora of challenges faced in this increasingly complex field, I2R has a state-of-the-art query optimization method, in which a set of features including surface and syntactic patterns are leveraged on, in order to map search queries into distinct video modalities.

The enabling technologies of video capture, display, compression and understanding have undergone astounding developments over the last few decades and their ultimate aim of realism in the perception of digital images has been well defined. With these in place together with the upcoming breakthroughs expected for the foreseeable future, it might not be long before we begin using machines that can perfectly reproduce everything we see and at the same time be able to understand the semantics.

Susanto Rahardja
Deputy Executive Director
Agency for Science, Technology and Research

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