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Found 5 essays matching the above criteria.

1. 1. Click me: thumbnail extraction for fashion videos : An approach for selecting engaging video thumbnails based on clothing identification, sharpness, and contrast.

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isabel Redtzer; [2023]
   Keywords : Thumbnail Extraction; User Engagement; Object Identification; YOLO; Laplacian Operator; Miniatyrbildsextraktion; Användarengagemang; Objektidentifiering; YOLO; Laplaceoperatorn;

   Abstract : Video thumbnails are essential to represent the content and summary of a video. This thesis proposed a thumbnail extraction approach for fashion videos based on the presence of clothing items, sharpness, and contrast. Furthermore, this thesis investigated how the proposed thumbnail selection method performed concerning user engagement. READ MORE

3. 2. Cross-layer optimization for joint visual-inertial localization and object detection on resource-constrained devices

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Elisa Baldassari; [2021]
   Keywords : Cross-layer optimization; Resource-constrained edge devices; Concurrent applications; Object detection; Localization; Optimering i flera lager; Resursbegränsade edge-enheter; Samtidiga program; Objektidentifiering; Lokalisering;

   Abstract : The expectations in performing high-performance cyber-physical applications in resource-constrained devices are continuously increasing. The available hardware is still a main limitation in this context, both in terms of computation capability and energy limits. READ MORE

4. 3. Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Albina Shilo; [2018]
   Keywords : Lidar; arbitrary object detection; object tracking;

   Abstract : Environment perception within autonomous driving aims to provide a comprehensive and accurate model of the surrounding environment based on information from sensors. For the model to be comprehensive it must provide the kinematic state of surrounding objects. READ MORE

5. 4. A Path Planning Approach for Context Aware Autonomous UAVs used for Surveying Areas in Developing Regions

   University essay from KTH/Mekatronik

   Author : Fredrika Kringberg; [2018]
   Keywords : Unmanned aerial vehicles; Autonomous vehicles; Area surveying; Navigation; Path planning; Potential field; Object detection;

   Abstract : Developing regions are often characterized by large areas that are poorly reachable or explored. The mapping and census of roaming populations in these areas are often difficult and sporadic. A recent spark in the development of small aerial vehicles has made them the perfect tool to efficiently and accurately monitor these areas. READ MORE

6. 5. Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Sudhanshu Mittal; [2017]
   Keywords : Semi-supervised Learning; Object Recognition; Adversarial Training; Autoencoders;

   Abstract : For many real-world applications, labeled data can be costly to obtain. Semi-supervised learning methods make use of substantially available unlabeled data along with few labeled samples. Most of the latest work on semi-supervised learning for image classification show performance on standard machine learning datasets like MNIST, SVHN, etc. READ MORE