| 000 | 01606nam a2200349 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223025922.0 | ||
| 008 | 090903s2009 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.20.01.M.Sc.2009.Mo.V | ||
| 100 | 0 | _aMohammed Abdelrahman Hassan | |
| 245 | 1 | 0 |
_aVideo classification by exploiting video features / _cMohammed Abdelrahman Hassan ; Supervised Khaled Mostafa Elsayed , Sherif Mahdy Abdou |
| 246 | 1 | 5 | _aتصنيف الفيديو باستغلال خصائصه |
| 260 |
_aCairo : _bMohammed Abdelrahman Hassan , _c2009 |
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| 300 |
_a96Leaves : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and information - Department of Information Technology | ||
| 520 | _aThe video is firstly segmented into shots .Then for each shot the middle frame is considered as a key frame and its histogram is calculated .The video classification procedure consists of three consecutive phases .In the first phase we use NN to classify the shot .For the audio clannel we extract the STFT then we use DTW to find the best matching class template | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aVideo analysis | |
| 653 | 4 | _aVideo categorization | |
| 653 | 4 | _aVideo classification | |
| 700 | 0 |
_aKhaled Mostafa Elsayed , _eSupervisor |
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| 700 | 0 |
_aSherif Mahdy Abdou , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 902 | _a1 | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aSoheir _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c23522 _d23522 |
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