Abstract
Categorizing free-hand human sketches has profound
implications in applications such as human computer
interaction and image retrieval. The task is non-trivial due to
the iconic nature of sketches, signified by large variances in both
appearance and structure when compared with photographs. One
of the most fundamental problem is how to effectively describe
a sketch image. Many existing descriptors, such as Histogram
of Oriented Gradients (HOG) and Shape Context (SC), have
achieved great success. Moreover, some works have attempted
to design features specifically engineered for sketches, such as
Symmetric-aware Flip Invariant Sketch Histogram (SYM-FISH).
We present a novel patch-based sparse representation (PSR)
for describing sketch image and it is evaluated under a sketch
recognition framework. Extensive experiments on a large scale
human drawn sketch dataset demonstrate the effectiveness of the
proposed method.
implications in applications such as human computer
interaction and image retrieval. The task is non-trivial due to
the iconic nature of sketches, signified by large variances in both
appearance and structure when compared with photographs. One
of the most fundamental problem is how to effectively describe
a sketch image. Many existing descriptors, such as Histogram
of Oriented Gradients (HOG) and Shape Context (SC), have
achieved great success. Moreover, some works have attempted
to design features specifically engineered for sketches, such as
Symmetric-aware Flip Invariant Sketch Histogram (SYM-FISH).
We present a novel patch-based sparse representation (PSR)
for describing sketch image and it is evaluated under a sketch
recognition framework. Extensive experiments on a large scale
human drawn sketch dataset demonstrate the effectiveness of the
proposed method.
| Original language | English |
|---|---|
| Title of host publication | Network Infrastructure and Digital Content (IC-NIDC), 2014 4th IEEE International Conference on |
| Publisher | IEEE Press |
| Publication date | Sept 2014 |
| Pages | 343-346 |
| ISBN (Print) | 978-1-4799-4736-2 |
| ISBN (Electronic) | 978‐1‐4799‐5624‐1, 978-1-4799-4734-8 |
| DOIs | |
| Publication status | Published - Sept 2014 |
| Event | The 4th IEEE International Conference on Network Infrastructure and Digital Content - Beijing, China Duration: 19 Sept 2014 → 21 Sept 2014 |
Conference
| Conference | The 4th IEEE International Conference on Network Infrastructure and Digital Content |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 19/09/2014 → 21/09/2014 |
| Series | IEEE International Conference Network Infrastructure and Digital Content proceedings |
|---|