Podcast
Questions and Answers
What are context based compression techniques and how do they work?
What are context based compression techniques and how do they work?
Context based compression techniques use the context of the data being encoded and the past history of the data to provide more efficient compression. These techniques give more compression when the message that is being coded has a more skewed set of probabilities.
What is the difference between context based coding and predictive coding?
What is the difference between context based coding and predictive coding?
Context based coding is a scheme where the distribution is based on the history of the sequence, while predictive coding uses some context of order 1, 2, and so on to make predictions.
What does it mean for a sequence of symbols to be 'skewed'?
What does it mean for a sequence of symbols to be 'skewed'?
When a sequence of symbols is 'skewed', it means that certain symbols occur with much higher probability than others in the sequence to be encoded.
How does the knowledge of which symbols have occurred in the neighborhood of the symbol being encoded affect context based coding?
How does the knowledge of which symbols have occurred in the neighborhood of the symbol being encoded affect context based coding?
Signup and view all the answers
What is the purpose of using context based compression techniques?
What is the purpose of using context based compression techniques?
Signup and view all the answers
