Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Markerless Augmented Advertising for Sports Videos   Markerless augmented reality can be a challenging computer vision task,
especially in live broadcast settings and in the absence of information related
to the video capture such as the intrinsic camera parameters. This typically
requires the assistance of a skilled artist, along with the use of advanced
video editing tools in a post-production environment. We present an automated
video augmentation pipeline that identifies textures of interest and overlays
an advertisement onto these regions. We constrain the advertisement to be
placed in a way that is aesthetic and natural. The aim is to augment the scene
such that there is no longer a need for commercial breaks. In order to achieve
seamless integration of the advertisement with the original video we build a 3D
representation of the scene, place the advertisement in 3D, and then project it
back onto the image plane. After successful placement in a single frame, we use
homography-based, shape-preserving tracking such that the advertisement appears
perspective correct for the duration of a video clip. The tracker is designed
to handle smooth camera motion and shot boundaries.

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The categories of this paper are: q-bio
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The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
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The categories of this paper are: eess
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The categories of this paper are: chao-dyn
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The categories of this paper are: astro-ph