Sökning: "Moving Images"

Visar resultat 16 - 20 av 152 uppsatser innehållade orden Moving Images.

1. 16. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects

   Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

   Författare :Fredric Lundberg Andersson; [2022]
   Nyckelord :Machine learning; Computer vision; Visual tracking; Attentions; Tiny fast-moving object;

   Sammanfattning : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. LÄS MER

3. 17. Analysis and Evaluation ofVisuospatial Complexity Models

   Uppsats för yrkesexamina på grundnivå, Örebro universitet/Institutionen för naturvetenskap och teknik

   Författare :Bashar Hammami; Mjed Afram; [2022]
   Nyckelord :Complexity; Visual Complexity; Visuospatial Complexity; Strauctural Similarity Index Measurement; SSIM; Visual Clutter; Feature Congestion; Subband Entropy;

   Sammanfattning : Visuospatial complexity refers to the level of detail or intricacy present within a scene, takinginto account both spatial and visual properties of the dynamic scene or the place (e.g.moving images, everyday driving, video games and other immersive media). There havebeen several studies on measuring visual complexity from various viewpoints, e. LÄS MER

4. 18. Rörlig grafik i annonser - överskattat eller oumbärligt? : En kvalitativ jämförelse av rörliga och statiska annonsers effektivitet

   Kandidat-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Författare :Malte Wikström; Fanny Örnberg; [2022]
   Nyckelord :;

   Sammanfattning : "Rörligt" verkar vara favoritordet på reklamproffsens läppar i år. Och det är ingen slump - rörlig bild motsvarade cirka 80% av internettrafiken år 2021. Denna studie syftar till att undersöka skillnaderna mellan en rörlig annons och en statisk annons i hur de väcker intresse. LÄS MER

5. 19. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Mika Persson; [2022]
   Nyckelord :Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

   Sammanfattning : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. LÄS MER

7. 20. Estimation of Water Depth from Multispectral Drone Imagery : A suitability assessment of CNN models for bathymetry retrieval in shallow water areas

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Qianyao Shen; [2022]
   Nyckelord :Bathymetry Retrieval; Multispectral Imagery; Convolutional Neural Network CNN ; Hämtning Av Batymetri; Multispektrala Bilder; Konvolutionellt Neuralt Nätverk CNN ;

   Sammanfattning : Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. LÄS MER