0: irrelevant 1: fair 2: relevant a Initial b RW c PRF e Proposed_NRCC d Proposed_KDE Figure 5.6: Illustrative results for complex query “a man walking his dog in the park“ based on diff
Trang 10: irrelevant 1: fair 2: relevant
(a)
Initial
(b)
RW
(c)
PRF
(e)
Proposed_NRCC
(d)
Proposed_KDE
Figure 5.6: Illustrative results for complex query “a man walking his dog in the park“ based on different reranking approaches Our proposed approaches obtain the most satisfying results
assumes that these visual concepts are independent, when estimating the related-ness between a visual concept and a given image
Figure 5.6 illustrates the top 10 images before and after reranking for dif-ferent reranking approaches for the complex query “a man walking his dog in the park“ Obviously, our proposed approaches obtain the most satisfying results
However, after examining the performance of each query, it is observed that our scheme fails to handle some queries that have explicit spatial or action relation-ship constraints between visual concepts Examples include “a butterfly on the left top of the flower” and “a man listening to a mobile phone” We will integrate this kind information into our scheme for general complex queries in our future work
As discussed above, both the number of transitions t and local neighbour size K
are important parameters in our method In this section, we further conduct exper-iments to investigate the effect of these parameters based on the proposed NRCC