This brief presents a comprehensive introduction to feature coding,
which serves as a key module for the typical object recognition
pipeline. The text offers a rich blend of theory and practice while
reflects the recent developments on feature coding, covering the
following five aspects: (1) Review the state-of-the-art, analyzing
the motivations and mathematical representations of various feature
coding methods; (2) Explore how various feature coding algorithms
evolve along years; (3) Summarize the main characteristics of
typical feature coding algorithms and categorize them accordingly;
(4) Discuss the applications of feature coding in different visual
tasks, analyze the influence of some key factors in feature coding
with intensive experimental studies; (5) Provide the suggestions of
how to apply different feature coding methods and forecast the
potential directions for future work on the topic. It is suitable
for students, researchers, practitioners interested in object
recognition.
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