We investigate the use of data mining for the analysis of software metric databases, and some of the issues in this application domain.
Scoring metric and database used for the evaluation are explained in Section 'Speaker diarization evaluation'.
This can be better observed in relation to the aspect approaches, where the results are statistically different in every metric and database used in this study.
We present the database metric systems submitted along with all results and some discussion.
In [12], Staelens et al. presented a comparison between their FR framework and the VQM metric; the EPFL database provided the test set, while the framework was trained using eight video sequences not belonging to standard benchmarks.
Table 9 Norm of residuals versus DMOS, full reference versus RR edge-based metric, LIVE image database WN Gaussian blur fast fading JPEG JPEG2000 FR Sobel 58.36 53.67 61.27 73.68 76.05 RR Sobel 60.82 55.96 63.17 83.04 84.33.
The rest of the paper is organized as follows: the next section presents the STD evaluation and includes an evaluation description, the metric used, the database released for experimentation, a comparison with previous evaluations, and the participants involved in the evaluation.
The rest of the paper is organized as follows: the next section presents the QbE STD evaluation that includes an evaluation description, the metric used, the database released for experimentation, a comparison with previous evaluations, and the participants involved in the evaluation.
In addition, the administrative page also provides database metric and usage statistics, such as the number of samples run and total number of proteins identified.
Table 1 Pearson correlation coefficients between the subjective scores and objective scores for the JPEG compressed images (TID2008 database) Objective metric Pearson Proposed blocking metric 0.951 Jeong's blocking metric [15] 0.851 Wang et al. [6] 0.954 Wu and Yuen [3] 0.924 Figure 4 Scatter plots of the MOS versus the MOS p of the blocking metrics for the JPEG images.
