15.4 Run
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15.1 Why? 
15.2 Data 
15.3 Parameters 
15.4 Run 
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15.4   Run

To run this example,

  •    Click the “Key” button and select “.\ex_trademark\image036.jpg”;
  •    Click the “Source” button and select “.\ex_trademark\”;
  •    Set the Parameters as specified above;
  •    Click the “NeuralNet/Train” button to train the filter;
  •    Click the “NeuralNet/Matching/1:N (Key vs Source)” button to make a search.

The results are:

    ID              Name                  Path             Score                 X         Y        W        H       R

    V-...800    V-...800.jpg          ...                96384                 60        0        409     24      0

    V-...801    V-...801.jpg          ...                94656                 12        0        409      24     0

    V-...802    V-...802.jpg          ...                96640                 66        0        409      24      0

    V-...803    V-...803.jpg         ...                95104                 78        0        409       24      0

    V-...804    V-...804.jpg         ...                94976                  90        0        409       24      0

    V-...810    V-...810.jpg         ...                85824                108       360     409       24      0

    V-...831    V-...831.jpg        ...                 72448                  48       228      409       24      0

    V-...832    V-...832.jpg        ...                 86336                  48       228      409       24      0

    V-...833    V-...833.jpg        ...                 82048                   48       228      409      24      0

    V-...834    V-...834.jpg        ...                75072                    48       228      409      24      0

    V-...835    V-...835.jpg        ...                 80512      48       228      409 24  0

    V-...836    V-...836.jpg    ... 83456      48       228      409 24  0

    V-...837    V-...837.jpg    ... 82240      48       228      409 24  0

    V-...838    V-...838.jpg    ... 76928      48       228      409 24  0

    V-...839    V-...839.jpg    ... 79808      48       228      409 24  0

    V-...840    V-...840.jpg    ... 86016      48       228      409 24  0

    V-...841    V-...841.jpg    ... 88192      48       228      409 24  0

    V-...842    V-...842.jpg    ... 72960      48       228      409 24  0

    V-...843    V-...843.jpg    ... 69568      48       228      409 24  0

    V-...844    V-...844.jpg    ... 67840      48       228      409 24  0

    V-...845    V-...845.jpg    ... 67584      48       228      409 24  0

    V-...846    V-...846.jpg    ... 63232      48       228      409 24  0

    V-...847    V-...847.jpg    ... 65536      48        228     409 24  0

    V-...848    V-...848.jpg    ... 70080      48       228     409 24  0

    V-...849    V-...849.jpg    ... 76416      48       228     409 24  0

    V-...850    V-...850.jpg    ... 75776      48       228     409 24  0

    V-...851    V-...851.jpg    ... 74624      48       228     409 24  0

    V-...852    V-...852.jpg    ... 69568      48       228     409 24  0

    V-...853    V-...853.jpg    ... 71296      48       228     409 24  0

    V-...854    V-...854.jpg    ... 67904      48       228     409 24  0

    V-...855    V-...855.jpg    ... 72960      48       228     409 24  0

    V-...856    V-...856.jpg    ... 76160      48       228     409 24  0

    V-...857    V-...857.jpg    ... 78656      48       228     409 24  0

    V-...858    V-...858.jpg    ... 76608      48       228     409 24  0

    V-...859    V-...859.jpg    ... 78656      48       228     409 24  0

    V-...860    V-...860.jpg    ... 78144      48       228    409 24  0

    V-...861    V-...861.jpg    ... 74432   48         228     409 24  0

    V-...862    V-...862.jpg    ... 68480   48         228 409 24  0

    V-...863    V-...863.jpg    ... 71808   48         228 409 24  0

    V-...864    V-...864.jpg    ... 74176   48        228 409 24  0

    V-...865    V-...865.jpg    ... 76096   48        228 409 24  0

    V-...866    V-...866.jpg    ... 67520   48         228 409 24  0

    V-...883    V-...883.jpg    ... 64000   72        300 409 24  0

    V-...884    V-...884.jpg    ... 65152   72        300 409 24  0

    V-...896    V-...896.jpg    ... 64384   72        300 409 24  0

    V-...897    V-...897.jpg    ... 64896   72        300 409 24  0

    V-...898    V-...898.jpg    ... 64704   72        300 409 24  0

    V-...901    V-...901.jpg    ... 66624   84        300 409 24  0

    V-...902    V-...902.jpg    ... 66048   72        300 409 24  0

    V-...903    V-...903.jpg    ... 65664   72        300 409 24  0

    V-...904    V-...904.jpg    ... 72064   72        300 409 24  0

 

There are 51 retrieved images. Images 831 to 866 represent 36 frames and 12 seconds of ads. All images in this group are identified.

Images 874 to 904 represent 29 frames and close to 10 seconds of ads.  The second group is a bit smaller, and needs a separate search. Some of the images in this group are identified. There are 6 errors; this error rate can be solved by customization.

 

[Home][About][1. Introduction][2. Overview][3. GUI][4. Image Signatures][5. Unsupervised Filters][6. Results & Analysis][7. BioFilters][8. NeuralFilters][9. Duplicated Documents][10. Face Recognition][11. Auto Part Recognition][12. Dynamic Library][13. NeuralNet Filter][14. Segment Variation][15. TV Advertisements][16. Counting & Tracking][17. Image PreProcessing][18. Image Processing][19. Batch Job][20. Parameters][21. Input Option][22. Application Developers][23. Reference Manual][24. Support Services][25. Readme.txt]

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