Browsing College of Engineering (CEN) by Subject "Pattern recognition"
Now showing items 1-6 of 6
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Altering Split Decisions of Coding Units for Message Embedding in HEVC
(Springer, 2017-05)This paper proposes a novel message embedding solution based on modifying the split decisions of HEVC videos. The encoder starts by computing a mapping between the split decisions of a Coding Unit (CU) and its features ... -
Android mobile app for real-time bilateral Arabic sign language translation using leap motion controller
(IEEE, 2017)This paper introduces an android mobile App for real-time bilateral Arabic sign language translation. The system is designed to operate on isolated sign language words. The mobile App has four main components; sign language ... -
Continuous Arabic Sign Language Recognition in User Dependent Mode
(Scientific Research, 2010)Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this ... -
Detecting Double and Triple Compression in HEVC Videos Using the Same Bit Rate
(Springer, 2021)Digital video forensics refers to the process of analysing, examining, evaluating and comparing a video for use in legal matters. In digital video forensics, the main aim is to detect and identify video forgery to ensure ... -
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
(IEEE, 2015)In this paper we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences using an 80-word lexicon. In the ... -
Predicting split decisions of coding units in HEVC video compression using machine learning techniques
(Springer, 2018)In this work, we propose to reduce the complexity of HEVC video encoding by predicting the split decisions of coding units. We use a sequencedependent approach in which a number of frames belonging to the video being encoded ...