Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: User-based key frame detection in social web video   Video search results and suggested videos on web sites are represented with a
video thumbnail, which is manually selected by the video up-loader among three
randomly generated ones (e.g., YouTube). In contrast, we present a grounded
user-based approach for automatically detecting interesting key-frames within a
video through aggregated users' replay interactions with the video player.
Previous research has focused on content-based systems that have the benefit of
analyzing a video without user interactions, but they are monolithic, because
the resulting video thumbnails are the same regardless of the user preferences.
We constructed a user interest function, which is based on aggregate video
replays, and analyzed hundreds of user interactions. We found that the local
maximum of the replaying activity stands for the semantics of information rich
videos, such as lecture, and how-to. The concept of user-based key-frame
detection could be applied to any video on the web, in order to generate a
user-based and dynamic video thumbnail in search results.

14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ