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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 ...
Altering Split Decisions of Coding Units for Message Embedding in HEVC
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 ...
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
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
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 ...