Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On Flow Profile Image for Video Representation   Video representation is a key challenge in many computer vision applications
such as video classification, video captioning, and video surveillance. In this
paper, we propose a novel approach for video representation that captures
meaningful information including motion and appearance from a sequence of video
frames and compacts it into a single image. To this end, we compute the optical
flow and use it in a least squares optimization to find a new image, the
so-called Flow Profile Image (FPI). This image encodes motions as well as
foreground appearance information while background information is removed. The
quality of this image is validated in activity recognition experiments and the
results are compared with other video representation techniques such as dynamic
images [1] and eigen images [2]. The experimental results as well as visual
quality confirm that FPIs can be successfully used in video processing
applications.

9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess