Image Processing Reference
In-Depth Information
Table 3
Example 2
News title
The First Lady of Taiwan Chow Mei-Ching atends the exhibition of the Imperial Palace in
Tokyo
Image link
Caption
Chow Mei-Ching's visit to Japan but was ultimately received a cold-should by the media
CLCP
Special Exhibition of the Treasured Masterpieces from National Palace Museum, Taipei |
Taiwan | Chow Mei-Ching's visit to Japan
Table 4
Example 3
News title
France commited to deal with the light crash in Algeria
Image link
Caption
After meeting with the families of the victims François Hollande made a commitment
CLCP
Algeria Airlines Flight 5017 | Three days of national mourning | 118 victims
4.5 Performance Testing
After the annotation validity and acceptance evaluation, we conducted a performance testing
with respect to the time spent of processing from an event trigger to system response. Often
real-time response times are understood to be in milliseconds and sometimes microseconds.
Our testing data sets consist of 18,000 pieces of news; the processing time is 126 s in total with
0.007 s on average for each piece of news.
5 Conclusion
Unlike recent feature-based or text processing techniques tend to assign the same annotation
to all the images in the same cluster without considering the latent semantic anecdotes of each
image. This study proposed a corpus-free, relatively light computation of term segmentation,
namely “CLCP method” to identify pertinent anecdotes for image annotation.
This chapter contributes to image annotation research in several ways. First, it demonstrates
that a corpus-free, lightweight computation of a single document can effectively generate per-
tinent anecdotes for image annotation. This finding indicates that a greater deployment of the
CLCP needs to be undertaken in order to provide customized image annotation that has been
neglected by current CBIR and text-based image processing. Second, for performance consid-
eration, this method adopted the concept of lyweight and composite design paterns that al-
lows sharing characters/words and facilitating their use at fine granularities without prohib-
itive cost. This finding implies that whether the CLCP applied to a single document or mul-
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