Arbitrary-Shaped Text Detection With Adaptive Text Region Representation
نویسندگان
چکیده
منابع مشابه
Graph-Based Text Representation For Novelty Detection
We discuss several feature sets for novelty detection at the sentence level, using the data and procedure established in task 2 of the TREC 2004 novelty track. In particular, we investigate feature sets derived from graph representations of sentences and sets of sentences. We show that a highly connected graph produced by using sentence-level term distances and pointwise mutual information can ...
متن کاملText detection in images using sparse representation with discriminative dictionaries
a r t i c l e i n f o Text detection is important in the retrieval of texts from digital pictures, video databases and webpages. However, it can be very challenging since the text is often embedded in a complex background. In this paper, we propose a classification-based algorithm for text detection using a sparse representation with discriminative dictionaries. First, the edges are detected by...
متن کاملTowards a Text Representation for Text Expanding
Text expanding enables to relate a story by its kernel version, or by more and more detailed versions, until the maximal one, which contains all the available information. It is text versioning by progressive introduction of details about the material of the text. This process is based on a text representation, including a sentence representation and its characterizations (following Harris’s Gr...
متن کاملText Representation for Automatic Text Categorization
Automatic Text Categorization (ATC), the automatic assignment of text documents to predefined classes, is a language engineering task very relevant to a number of applications, including automatic content and knowledge management in corporations and the Internet, information access and filtering, etc. With first works dating back to 60’s [14], and increased work in the last decade (see the surv...
متن کاملArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene
Arbitrary-oriented text detection in the wild is a very challenging task, due to the aspect ratio, scale, orientation, and illumination variations. In this paper, we propose a novel method, namely Arbitrary-oriented Text (or ArbText for short) detector, for efficient text detection in unconstrained natural scene images. Specifically, we first adopt the circle anchors rather than the rectangular...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2999069