Merge pull request #150 from itlab-vision/readme-fixes

Fix root README

README.md

@@ -1,34 +1,60 @@
 # DLI: Deep Learning Inference Benchmark based on Intel® Distribution of OpenVINO™ toolkit
 
-Deep learning benchmark based on [Intel® Distribution of OpenVINO™ toolkit][openvino-toolkit].
+## Introduction
+
+This is a repo of deep learning inference benchmark, called DLI.
+DLI is a benchmark for deep learning inference on various hardware.
+The main advantage of DLI from the existing benchmarks
+is the availability of perfomance results for a large number
+of deep models inferred on Intel platforms (Intel CPUs, Intel
+Processor Graphics, Intel Movidius Neural Compute Stick).
+DLI is based on the [Intel® Distribution of OpenVINO™ toolkit][openvino-toolkit].
+
+More information about DLI is available
+[here][dli-ru-web-page] (in Russian)
+or [here][dli-web-page] (in English).
+
+## Cite
+
+Please consider citing the following paper.
+
+Kustikova V., Vasilyev E., Khvatov A., Kumbrasiev P., Rybkin R.,
+Kogteva N. DLI: Deep Learning Inference Benchmark //
+Communications in Computer and Information Science.
+V.1129. 2019. P. 542-553.
 
 ## Repo Structure
 
 - `docs` directory contains project documentation.
   - [`concept.md`](docs/concept.md) is a concept description
-    (goals, tasks and requirements).
+    (goals and tasks).
   - [`technologies.md`](docs/technologies.md) is a list
     of technologies.
   - [`architecture.md`](docs/architecture.md) is a benchmarking
     system architecture.
 
-- `results` directory contains validation and performance results.
+- `results` directory contains validation results.
   - [`validation_results.md`](results/validation_results.md) is a table
     that confirms correctness of inference implementation based on
-    Intel® Distribution of OpenVINO™ toolkit.
+    Intel® Distribution of OpenVINO™ toolkit for public models.
+  - [`validation_results_intel_models.md`](results/validation_results_intel_models.md)
+    is a table that confirms correctness of inference implementation based on
+    Intel® Distribution of OpenVINO™ toolkit for models trained
+    by Intel engineers and available in [Open Model Zoo][open-model-zoo].
 
 - `src` directory contains benchmark sources.
-  - `auxiliary` contains auxiliary scripts for benchmarking
-    (to get node information).
+  - `bench_deploy` is a set of tools for deployment.
   - `benchmark` is a set of scripts to estimate inference
     performance of different models at the single local computer.
   - `configs` contains template configuration files.
   - `csv2html` is a set of scripts to convert result table
-  from csv format to html format.
-  - `inference` contains inference implementation based on
-    Intel® Distribution of OpenVINO™ toolkit.
+    from csv format to html format.
+  - `inference` contains inference implementation.
   - `remote_control` contains scripts to execute benchmark
     remotely.
 
 <!-- LINKS -->
 [openvino-toolkit]: https://software.intel.com/en-us/openvino-toolkit
+[dli-ru-web-page]: http://hpc-education.unn.ru/dli-ru
+[dli-web-page]: http://hpc-education.unn.ru/dli
+[open-model-zoo]: https://github.com/opencv/open_model_zoo